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You searched for subject:(Spike Sorting). Showing records 1 – 26 of 26 total matches.

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Université Catholique de Louvain

1. Tits, Cédric. Application of feature subset selection on meaningful features leads to promising results for spike sorting.

Degree: 2016, Université Catholique de Louvain

Understanding the visual system is a real interest since it contributes to one of the most important sense for human: the vision. To achieve this… (more)

Subjects/Keywords: Feature Subset Selection; Spike Sorting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tits, C. (2016). Application of feature subset selection on meaningful features leads to promising results for spike sorting. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:4588

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tits, Cédric. “Application of feature subset selection on meaningful features leads to promising results for spike sorting.” 2016. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/thesis:4588.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tits, Cédric. “Application of feature subset selection on meaningful features leads to promising results for spike sorting.” 2016. Web. 25 Jun 2019.

Vancouver:

Tits C. Application of feature subset selection on meaningful features leads to promising results for spike sorting. [Internet] [Thesis]. Université Catholique de Louvain; 2016. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/thesis:4588.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tits C. Application of feature subset selection on meaningful features leads to promising results for spike sorting. [Thesis]. Université Catholique de Louvain; 2016. Available from: http://hdl.handle.net/2078.1/thesis:4588

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Boston University

2. Moore-Kochlacs, Caroline Elizabeth. Extracellular electrophysiology with close-packed recording sites: spike sorting and characterization.

Degree: PhD, Neuroscience, 2016, Boston University

 Advances in recording technologies now allow us to record populations of neurons simultaneously, data necessary to understand the network dynamics of the brain. Extracellular probes… (more)

Subjects/Keywords: Neurosciences; Electrophysiology; Neuroscience; Spike sorting

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APA (6th Edition):

Moore-Kochlacs, C. E. (2016). Extracellular electrophysiology with close-packed recording sites: spike sorting and characterization. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/19751

Chicago Manual of Style (16th Edition):

Moore-Kochlacs, Caroline Elizabeth. “Extracellular electrophysiology with close-packed recording sites: spike sorting and characterization.” 2016. Doctoral Dissertation, Boston University. Accessed June 25, 2019. http://hdl.handle.net/2144/19751.

MLA Handbook (7th Edition):

Moore-Kochlacs, Caroline Elizabeth. “Extracellular electrophysiology with close-packed recording sites: spike sorting and characterization.” 2016. Web. 25 Jun 2019.

Vancouver:

Moore-Kochlacs CE. Extracellular electrophysiology with close-packed recording sites: spike sorting and characterization. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2144/19751.

Council of Science Editors:

Moore-Kochlacs CE. Extracellular electrophysiology with close-packed recording sites: spike sorting and characterization. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/19751


University of Arizona

3. Greene, Patrick. A Bayesian Approach to Spike Sorting of Neural Data via Source Localization .

Degree: 2018, University of Arizona

 This dissertation describes a novel mathematical algorithm for extracting spike data and positional information from extracellular electrophysiological neural recordings. By capturing the electrical signals emitted… (more)

Subjects/Keywords: algorithms; electrodes; electrophysiology; extracellular recordings; spikes; spike sorting

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APA (6th Edition):

Greene, P. (2018). A Bayesian Approach to Spike Sorting of Neural Data via Source Localization . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/628404

Chicago Manual of Style (16th Edition):

Greene, Patrick. “A Bayesian Approach to Spike Sorting of Neural Data via Source Localization .” 2018. Doctoral Dissertation, University of Arizona. Accessed June 25, 2019. http://hdl.handle.net/10150/628404.

MLA Handbook (7th Edition):

Greene, Patrick. “A Bayesian Approach to Spike Sorting of Neural Data via Source Localization .” 2018. Web. 25 Jun 2019.

Vancouver:

Greene P. A Bayesian Approach to Spike Sorting of Neural Data via Source Localization . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10150/628404.

Council of Science Editors:

Greene P. A Bayesian Approach to Spike Sorting of Neural Data via Source Localization . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/628404


Brandeis University

4. Lis, Sophie. Improved Quality Control for Spike Sorting and Clustering to Investigate How Locomotion Affects Neuronal Firing in Visual Cortex.

Degree: 2019, Brandeis University

 In order to facilitate the understanding of complex neuroscientific questions in vivo, it is often necessary to carry out extracellular recordings via chronically implanted electrode… (more)

Subjects/Keywords: Spike Sorting and Clustering; Locomotion; Quality Control; Visual Cortex

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APA (6th Edition):

Lis, S. (2019). Improved Quality Control for Spike Sorting and Clustering to Investigate How Locomotion Affects Neuronal Firing in Visual Cortex. (Thesis). Brandeis University. Retrieved from http://hdl.handle.net/10192/36789

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lis, Sophie. “Improved Quality Control for Spike Sorting and Clustering to Investigate How Locomotion Affects Neuronal Firing in Visual Cortex.” 2019. Thesis, Brandeis University. Accessed June 25, 2019. http://hdl.handle.net/10192/36789.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lis, Sophie. “Improved Quality Control for Spike Sorting and Clustering to Investigate How Locomotion Affects Neuronal Firing in Visual Cortex.” 2019. Web. 25 Jun 2019.

Vancouver:

Lis S. Improved Quality Control for Spike Sorting and Clustering to Investigate How Locomotion Affects Neuronal Firing in Visual Cortex. [Internet] [Thesis]. Brandeis University; 2019. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10192/36789.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lis S. Improved Quality Control for Spike Sorting and Clustering to Investigate How Locomotion Affects Neuronal Firing in Visual Cortex. [Thesis]. Brandeis University; 2019. Available from: http://hdl.handle.net/10192/36789

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

5. Cao, Yingqiu. Variation resolutions for CMOS sensing networks .

Degree: 2018, Cornell University

 proposed circuits can be combined with other techniques including high-Q impedance matching for input voltage boosting and hierarchical tandem stages for further improvement on operating… (more)

Subjects/Keywords: Internet of Things; Neuron network; RF energy harvesting; Spike sorting; Electrical engineering

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APA (6th Edition):

Cao, Y. (2018). Variation resolutions for CMOS sensing networks . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cao, Yingqiu. “Variation resolutions for CMOS sensing networks .” 2018. Thesis, Cornell University. Accessed June 25, 2019. http://hdl.handle.net/1813/59769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cao, Yingqiu. “Variation resolutions for CMOS sensing networks .” 2018. Web. 25 Jun 2019.

Vancouver:

Cao Y. Variation resolutions for CMOS sensing networks . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1813/59769.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cao Y. Variation resolutions for CMOS sensing networks . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59769

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – San Francisco

6. Chung, Jason Ern Chi. Tools for the next generation of extracellular electrophysiology.

Degree: Neuroscience, 2018, University of California – San Francisco

 Complex animal behaviors are supported by computations made across large ensembles of neurons distributed among multiple brain regions. Our current understanding of how individual neurons… (more)

Subjects/Keywords: Neurosciences; Biomedical engineering; automated; clustering; extracellular electrophysiology; polymer electrode arrays; polymer electrodes; spike sorting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chung, J. E. C. (2018). Tools for the next generation of extracellular electrophysiology. (Thesis). University of California – San Francisco. Retrieved from http://www.escholarship.org/uc/item/6360b95r

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chung, Jason Ern Chi. “Tools for the next generation of extracellular electrophysiology.” 2018. Thesis, University of California – San Francisco. Accessed June 25, 2019. http://www.escholarship.org/uc/item/6360b95r.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chung, Jason Ern Chi. “Tools for the next generation of extracellular electrophysiology.” 2018. Web. 25 Jun 2019.

Vancouver:

Chung JEC. Tools for the next generation of extracellular electrophysiology. [Internet] [Thesis]. University of California – San Francisco; 2018. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/6360b95r.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chung JEC. Tools for the next generation of extracellular electrophysiology. [Thesis]. University of California – San Francisco; 2018. Available from: http://www.escholarship.org/uc/item/6360b95r

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Temple University

7. Balasubramanian, Karthikeyan. Reconfigurable System-on-Chip Architecture for Neural Signal Processing.

Degree: PhD, 2011, Temple University

Electrical Engineering

Analyzing the brain's behavior in terms of its neuronal activity is the fundamental purpose of Brain-Machine Interfaces (BMIs). Neuronal activity is often assumed… (more)

Subjects/Keywords: Electrical Engineering; Biomedical Engineering; Neurosciences; fuzzy logic hardware; fuzzy spike sorter; neural signal processing; reconfigurable system-on-chip; scalable and real-time hardware; spike detection and sorting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Balasubramanian, K. (2011). Reconfigurable System-on-Chip Architecture for Neural Signal Processing. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,144255

Chicago Manual of Style (16th Edition):

Balasubramanian, Karthikeyan. “Reconfigurable System-on-Chip Architecture for Neural Signal Processing.” 2011. Doctoral Dissertation, Temple University. Accessed June 25, 2019. http://digital.library.temple.edu/u?/p245801coll10,144255.

MLA Handbook (7th Edition):

Balasubramanian, Karthikeyan. “Reconfigurable System-on-Chip Architecture for Neural Signal Processing.” 2011. Web. 25 Jun 2019.

Vancouver:

Balasubramanian K. Reconfigurable System-on-Chip Architecture for Neural Signal Processing. [Internet] [Doctoral dissertation]. Temple University; 2011. [cited 2019 Jun 25]. Available from: http://digital.library.temple.edu/u?/p245801coll10,144255.

Council of Science Editors:

Balasubramanian K. Reconfigurable System-on-Chip Architecture for Neural Signal Processing. [Doctoral Dissertation]. Temple University; 2011. Available from: http://digital.library.temple.edu/u?/p245801coll10,144255

8. TAM WING KIN. MASSIVELY PARALLEL NEURAL SIGNAL PROCESSING.

Degree: 2017, National University of Singapore

Subjects/Keywords: neural signal processing; massively parallel processing; motor decoding; spike detection; spike sorting

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APA (6th Edition):

KIN, T. W. (2017). MASSIVELY PARALLEL NEURAL SIGNAL PROCESSING. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/138061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

KIN, TAM WING. “MASSIVELY PARALLEL NEURAL SIGNAL PROCESSING.” 2017. Thesis, National University of Singapore. Accessed June 25, 2019. http://scholarbank.nus.edu.sg/handle/10635/138061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

KIN, TAM WING. “MASSIVELY PARALLEL NEURAL SIGNAL PROCESSING.” 2017. Web. 25 Jun 2019.

Vancouver:

KIN TW. MASSIVELY PARALLEL NEURAL SIGNAL PROCESSING. [Internet] [Thesis]. National University of Singapore; 2017. [cited 2019 Jun 25]. Available from: http://scholarbank.nus.edu.sg/handle/10635/138061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

KIN TW. MASSIVELY PARALLEL NEURAL SIGNAL PROCESSING. [Thesis]. National University of Singapore; 2017. Available from: http://scholarbank.nus.edu.sg/handle/10635/138061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


UCLA

9. Karkare, Vaibhav. Robust, Reconfigurable, and Power-Efficient Electrophysiological Recording Systems.

Degree: Electrical Engineering, 2014, UCLA

 Wireless sensing of electrophysiological signals in day-to-day life, outside the well-controlled clinical or laboratory setting requires the sensor to detect tiny signals (with a resolution… (more)

Subjects/Keywords: Electrical engineering; Biomedical engineering; Biosignal recording system; dynamic range; low-frequency noise; low power; Spike sorting DSP; VCO-based ADC

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APA (6th Edition):

Karkare, V. (2014). Robust, Reconfigurable, and Power-Efficient Electrophysiological Recording Systems. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/71j464p0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Karkare, Vaibhav. “Robust, Reconfigurable, and Power-Efficient Electrophysiological Recording Systems.” 2014. Thesis, UCLA. Accessed June 25, 2019. http://www.escholarship.org/uc/item/71j464p0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Karkare, Vaibhav. “Robust, Reconfigurable, and Power-Efficient Electrophysiological Recording Systems.” 2014. Web. 25 Jun 2019.

Vancouver:

Karkare V. Robust, Reconfigurable, and Power-Efficient Electrophysiological Recording Systems. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/71j464p0.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karkare V. Robust, Reconfigurable, and Power-Efficient Electrophysiological Recording Systems. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/71j464p0

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Duke University

10. Li, Zheng. Non-Linear Adaptive Bayesian Filtering for Brain Machine Interfaces .

Degree: 2010, Duke University

  Brain-machine interfaces (BMI) are systems which connect brains directly to machines or computers for communication. BMI-controlled prosthetic devices use algorithms to decode neuronal recordings… (more)

Subjects/Keywords: Computer Science; Engineering, Biomedical; adaptive filtering; brain-computer interface; brain-machine interface; Kalman filtering; neuroprosthetic; spike-sorting

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APA (6th Edition):

Li, Z. (2010). Non-Linear Adaptive Bayesian Filtering for Brain Machine Interfaces . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/2363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Zheng. “Non-Linear Adaptive Bayesian Filtering for Brain Machine Interfaces .” 2010. Thesis, Duke University. Accessed June 25, 2019. http://hdl.handle.net/10161/2363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Zheng. “Non-Linear Adaptive Bayesian Filtering for Brain Machine Interfaces .” 2010. Web. 25 Jun 2019.

Vancouver:

Li Z. Non-Linear Adaptive Bayesian Filtering for Brain Machine Interfaces . [Internet] [Thesis]. Duke University; 2010. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10161/2363.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Z. Non-Linear Adaptive Bayesian Filtering for Brain Machine Interfaces . [Thesis]. Duke University; 2010. Available from: http://hdl.handle.net/10161/2363

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Michigan

11. Langhals, Nicholas Brandon. Strategies for Optimizing Information Extraction from Cortical Recordings.

Degree: PhD, Biomedical Engineering, 2011, University of Michigan

 Penetrating neural probe technologies provide researchers with the capability to stimulate and record chemical and electrical signals in the brain. While present technology has yielded… (more)

Subjects/Keywords: Neurophysiology; Neuroprosthetics; Neuroscience; Microelectrode; Neuroprosthesis; Spike Sorting; Biomedical Engineering; Engineering (General); Neurosciences; Science (General); Engineering; Health Sciences; Science

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APA (6th Edition):

Langhals, N. B. (2011). Strategies for Optimizing Information Extraction from Cortical Recordings. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/84644

Chicago Manual of Style (16th Edition):

Langhals, Nicholas Brandon. “Strategies for Optimizing Information Extraction from Cortical Recordings.” 2011. Doctoral Dissertation, University of Michigan. Accessed June 25, 2019. http://hdl.handle.net/2027.42/84644.

MLA Handbook (7th Edition):

Langhals, Nicholas Brandon. “Strategies for Optimizing Information Extraction from Cortical Recordings.” 2011. Web. 25 Jun 2019.

Vancouver:

Langhals NB. Strategies for Optimizing Information Extraction from Cortical Recordings. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2027.42/84644.

Council of Science Editors:

Langhals NB. Strategies for Optimizing Information Extraction from Cortical Recordings. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/84644

12. LI MENGXIN. On neural spike sorting with mixture models.

Degree: 2009, National University of Singapore

Subjects/Keywords: spike sorting; mixture model; moment matrix; contamination

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

MENGXIN, L. (2009). On neural spike sorting with mixture models. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/17694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

MENGXIN, LI. “On neural spike sorting with mixture models.” 2009. Thesis, National University of Singapore. Accessed June 25, 2019. http://scholarbank.nus.edu.sg/handle/10635/17694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

MENGXIN, LI. “On neural spike sorting with mixture models.” 2009. Web. 25 Jun 2019.

Vancouver:

MENGXIN L. On neural spike sorting with mixture models. [Internet] [Thesis]. National University of Singapore; 2009. [cited 2019 Jun 25]. Available from: http://scholarbank.nus.edu.sg/handle/10635/17694.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MENGXIN L. On neural spike sorting with mixture models. [Thesis]. National University of Singapore; 2009. Available from: http://scholarbank.nus.edu.sg/handle/10635/17694

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Gibson, Sarah Paige. Neural Spike Sorting in Hardware: From Theory to Practice.

Degree: Electrical Engineering, 2012, UCLA

 Brain-machine interfaces require real-time, wireless signal acquisition systems. However, wireless transmission of raw data is impossible for high-channel-count systems given the power constraints. Data rates… (more)

Subjects/Keywords: Electrical engineering; Neurosciences; neural engineering; neuroengineering; spike sorting

…78 5 The Effects of Quantization on Spike Sorting . . . . . . . . . . . . . . . . . 81… …81 5.2 Spike-Sorting Algorithms… …Sorting ASICs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 6.1 Spike… …3 1.3 Screenshot of a commercial spike-sorting program . . . . . . . . . . . . . . . 4… …reduction provided by each step of the spike-sorting process… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gibson, S. P. (2012). Neural Spike Sorting in Hardware: From Theory to Practice. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/73x6m54x

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gibson, Sarah Paige. “Neural Spike Sorting in Hardware: From Theory to Practice.” 2012. Thesis, UCLA. Accessed June 25, 2019. http://www.escholarship.org/uc/item/73x6m54x.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gibson, Sarah Paige. “Neural Spike Sorting in Hardware: From Theory to Practice.” 2012. Web. 25 Jun 2019.

Vancouver:

Gibson SP. Neural Spike Sorting in Hardware: From Theory to Practice. [Internet] [Thesis]. UCLA; 2012. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/73x6m54x.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gibson SP. Neural Spike Sorting in Hardware: From Theory to Practice. [Thesis]. UCLA; 2012. Available from: http://www.escholarship.org/uc/item/73x6m54x

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade de Lisboa

14. Fernandes, Célia Cristina Pereira. Embedded platform for neural recording and real-time template matching.

Degree: 2015, Universidade de Lisboa

Tese de mestrado integrado, Engenharia Biomédica e Biofísica (Engenharia Clínica Instrumentação Médica)Universidade de Lisboa, Faculdade de Ciências, 2015

O cérebro humano constitui uma das estruturas… (more)

Subjects/Keywords: Spike Sorting em tempo real; Template Matching; Amplificador de sinais neuronais; Baixo ruido; Microcontrolador KL26Z; MATLAB GUI; Teses de mestrado - 2015; Departamento de Física

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APA (6th Edition):

Fernandes, C. C. P. (2015). Embedded platform for neural recording and real-time template matching. (Thesis). Universidade de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/20714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fernandes, Célia Cristina Pereira. “Embedded platform for neural recording and real-time template matching.” 2015. Thesis, Universidade de Lisboa. Accessed June 25, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/20714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fernandes, Célia Cristina Pereira. “Embedded platform for neural recording and real-time template matching.” 2015. Web. 25 Jun 2019.

Vancouver:

Fernandes CCP. Embedded platform for neural recording and real-time template matching. [Internet] [Thesis]. Universidade de Lisboa; 2015. [cited 2019 Jun 25]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/20714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fernandes CCP. Embedded platform for neural recording and real-time template matching. [Thesis]. Universidade de Lisboa; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ul.pt:10451/20714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Duke University

15. Won, Deborah S. An information-theoretic analysis of spike processing in a neuroprosthetic model .

Degree: 2007, Duke University

 Neural prostheses are being developed to provide motor capabilities to patients who suffer from motor-debilitating diseases and conditions. These brain-computer interfaces (BCI) will be controlled… (more)

Subjects/Keywords: Spike sorting; Information theory; BCI; Body Mass Index (BMI); Neural prosthesis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Won, D. S. (2007). An information-theoretic analysis of spike processing in a neuroprosthetic model . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/184

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Won, Deborah S. “An information-theoretic analysis of spike processing in a neuroprosthetic model .” 2007. Thesis, Duke University. Accessed June 25, 2019. http://hdl.handle.net/10161/184.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Won, Deborah S. “An information-theoretic analysis of spike processing in a neuroprosthetic model .” 2007. Web. 25 Jun 2019.

Vancouver:

Won DS. An information-theoretic analysis of spike processing in a neuroprosthetic model . [Internet] [Thesis]. Duke University; 2007. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10161/184.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Won DS. An information-theoretic analysis of spike processing in a neuroprosthetic model . [Thesis]. Duke University; 2007. Available from: http://hdl.handle.net/10161/184

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

16. White, Nicole. Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease.

Degree: 2011, Queensland University of Technology

 Mixture models are a flexible tool for unsupervised clustering that have found popularity in a vast array of research areas. In studies of medicine, the… (more)

Subjects/Keywords: Bayesian statistics; clustering; deep brain stimulation; Dirichlet process mixture model; finite mixture model; Gibbs sampling; hidden Markov model; Markov chain Monte Carlo; microelectrode recording; Parkinson’s disease; spike sorting; UPDRS

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APA (6th Edition):

White, N. (2011). Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/48202/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

White, Nicole. “Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease.” 2011. Thesis, Queensland University of Technology. Accessed June 25, 2019. https://eprints.qut.edu.au/48202/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

White, Nicole. “Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease.” 2011. Web. 25 Jun 2019.

Vancouver:

White N. Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2019 Jun 25]. Available from: https://eprints.qut.edu.au/48202/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

White N. Bayesian mixtures for modelling complex medical data : a case study in Parkinson’s disease. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/48202/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. Knudson, Karin Comer. Recovery of continuous quantities from discrete and binary data with applications to neural data.

Degree: Mathematics, 2014, University of Texas – Austin

 We consider three problems, motivated by questions in computational neuroscience, related to recovering continuous quantities from binary or discrete data or measurements in the context… (more)

Subjects/Keywords: Compressive sensing; Computational neuroscience; Signal processing; Spike sorting; Machine learning

…problem of spike-sorting in processing neural data (Chapter 3), and estimating entropy… …In the one-bit compressed sensing and spike-sorting contexts, we incorporate the… …spike-sorting problem in processing neural data, where arrays of electrodes may be recording a… …typical approach to spike sorting is to identify candidate spikes first and then use a… …Chapter 4. 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 Spike-train Entropy Rate Estimation chical… 

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APA (6th Edition):

Knudson, K. C. (2014). Recovery of continuous quantities from discrete and binary data with applications to neural data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Knudson, Karin Comer. “Recovery of continuous quantities from discrete and binary data with applications to neural data.” 2014. Thesis, University of Texas – Austin. Accessed June 25, 2019. http://hdl.handle.net/2152/28424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Knudson, Karin Comer. “Recovery of continuous quantities from discrete and binary data with applications to neural data.” 2014. Web. 25 Jun 2019.

Vancouver:

Knudson KC. Recovery of continuous quantities from discrete and binary data with applications to neural data. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2152/28424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Knudson KC. Recovery of continuous quantities from discrete and binary data with applications to neural data. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. ROGER HERIKSTAD. Population coding in the primary visual cortex.

Degree: 2010, National University of Singapore

Subjects/Keywords: neural coding; visual cortex; population coding; variability; information; spike sorting

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APA (6th Edition):

HERIKSTAD, R. (2010). Population coding in the primary visual cortex. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/25066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

HERIKSTAD, ROGER. “Population coding in the primary visual cortex.” 2010. Thesis, National University of Singapore. Accessed June 25, 2019. http://scholarbank.nus.edu.sg/handle/10635/25066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

HERIKSTAD, ROGER. “Population coding in the primary visual cortex.” 2010. Web. 25 Jun 2019.

Vancouver:

HERIKSTAD R. Population coding in the primary visual cortex. [Internet] [Thesis]. National University of Singapore; 2010. [cited 2019 Jun 25]. Available from: http://scholarbank.nus.edu.sg/handle/10635/25066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

HERIKSTAD R. Population coding in the primary visual cortex. [Thesis]. National University of Singapore; 2010. Available from: http://scholarbank.nus.edu.sg/handle/10635/25066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. MOHAMMADREZA KESHTKARAN. Automatic Spike sorting and robust power line interference cancellation for neural signal processing.

Degree: 2014, National University of Singapore

Subjects/Keywords: neural signal processing; spike sorting; unsupervised subspace learning; adaptive filtering; power line interference

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APA (6th Edition):

KESHTKARAN, M. (2014). Automatic Spike sorting and robust power line interference cancellation for neural signal processing. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/118194

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

KESHTKARAN, MOHAMMADREZA. “Automatic Spike sorting and robust power line interference cancellation for neural signal processing.” 2014. Thesis, National University of Singapore. Accessed June 25, 2019. http://scholarbank.nus.edu.sg/handle/10635/118194.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

KESHTKARAN, MOHAMMADREZA. “Automatic Spike sorting and robust power line interference cancellation for neural signal processing.” 2014. Web. 25 Jun 2019.

Vancouver:

KESHTKARAN M. Automatic Spike sorting and robust power line interference cancellation for neural signal processing. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2019 Jun 25]. Available from: http://scholarbank.nus.edu.sg/handle/10635/118194.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

KESHTKARAN M. Automatic Spike sorting and robust power line interference cancellation for neural signal processing. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/118194

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Ervin, Brian. Neural Spike Detection and Classification Using Massively Parallel Graphics Processing.

Degree: MS, Engineering and Applied Science: Electrical Engineering, 2013, University of Cincinnati

 A Brain-Computer Interface (BCI) is a direct communication line that bypasses the neuromuscular pathway and allows brain signals to directly control a program or neuroprosthetic… (more)

Subjects/Keywords: Electrical Engineering; BCI; CUDA; Spike Sorting; Spike Detection; Neural Spikes; Parallel Processing

…assigned to neurons through a feature-based pattern recognition process. Thus, spike sorting… …processing. The algorithm for spike detection and sorting is described in detail in Chapter 3. The… …are capable of performing spike sorting with more than 100 channels; however, this does not… …intensive, massively parallel application, such as spike sorting on hundreds, or even thousands of… …based spike sorting algorithm, which will be evaluated using actual recordings and generated… 

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APA (6th Edition):

Ervin, B. (2013). Neural Spike Detection and Classification Using Massively Parallel Graphics Processing. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868773

Chicago Manual of Style (16th Edition):

Ervin, Brian. “Neural Spike Detection and Classification Using Massively Parallel Graphics Processing.” 2013. Masters Thesis, University of Cincinnati. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868773.

MLA Handbook (7th Edition):

Ervin, Brian. “Neural Spike Detection and Classification Using Massively Parallel Graphics Processing.” 2013. Web. 25 Jun 2019.

Vancouver:

Ervin B. Neural Spike Detection and Classification Using Massively Parallel Graphics Processing. [Internet] [Masters thesis]. University of Cincinnati; 2013. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868773.

Council of Science Editors:

Ervin B. Neural Spike Detection and Classification Using Massively Parallel Graphics Processing. [Masters Thesis]. University of Cincinnati; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868773


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

21. Αδάμος, Δημήτριος. Ανάπτυξη και εφαρμογή αλγορίθμων νευροπληροφορικής για την ανάλυση βιοηλεκτρικών σημάτων.

Degree: 2010, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

Spike sorting procedures are based on the assumption that all the action potential traces of a particular neuron have nearly the same amplitude and shape.… (more)

Subjects/Keywords: Νευροπληροφορική; Ανάλυση βιοηλεκτρικών σημάτων; Κατηγοριοποίηση νευρικής δραστηριότητας; Εξωκυτταρικές ηλεκτρικές καταγραφές; Θόρυβος σε εξωκυτταρικές καταγραφές νευρικής δραστηριότητας; Ανάλυση κύριων συνιστωσών; Εκμάθηση πολλαπλότητας; Θεωρία γράφων; Spike sorting; ISOMAP; Principal component analysis; Extracellular recordings; Noise in extracellural neural recordings; Manifold learning; Extreme learning machine; Graph-theoretic clustering

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APA (6th Edition):

Αδάμος, . . (2010). Ανάπτυξη και εφαρμογή αλγορίθμων νευροπληροφορικής για την ανάλυση βιοηλεκτρικών σημάτων. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/24370

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Αδάμος, Δημήτριος. “Ανάπτυξη και εφαρμογή αλγορίθμων νευροπληροφορικής για την ανάλυση βιοηλεκτρικών σημάτων.” 2010. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed June 25, 2019. http://hdl.handle.net/10442/hedi/24370.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Αδάμος, Δημήτριος. “Ανάπτυξη και εφαρμογή αλγορίθμων νευροπληροφορικής για την ανάλυση βιοηλεκτρικών σημάτων.” 2010. Web. 25 Jun 2019.

Vancouver:

Αδάμος . Ανάπτυξη και εφαρμογή αλγορίθμων νευροπληροφορικής για την ανάλυση βιοηλεκτρικών σημάτων. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2010. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10442/hedi/24370.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Αδάμος . Ανάπτυξη και εφαρμογή αλγορίθμων νευροπληροφορικής για την ανάλυση βιοηλεκτρικών σημάτων. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2010. Available from: http://hdl.handle.net/10442/hedi/24370

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Kostick, Nathan H. Novel Carbon-Nanotube Based Neural Interface for Chronic Recording of Glossopharyngeal Nerve Activity.

Degree: MSs (Engineering), Biomedical Engineering, 2018, Case Western Reserve University School of Graduate Studies

 Neural recordings have been used to study physiology since the early1900’s. However, high quality recordings of small autonomic nerves have been limitedto acute studies as… (more)

Subjects/Keywords: Biomedical Engineering; Neural Engineering, Carbon Nano-Tube, Peripheral Nervous System, CNT, CNTY, PNS, Neural Recording, Biomedical Engineering, Neural Interface, Carbon Nano-Tube Yarn, Chronic Recording, GPN, CSN, Glossopharyngeal Nerve, Spike Sorting, Neural Classification

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APA (6th Edition):

Kostick, N. H. (2018). Novel Carbon-Nanotube Based Neural Interface for Chronic Recording of Glossopharyngeal Nerve Activity. (Masters Thesis). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1517920588275806

Chicago Manual of Style (16th Edition):

Kostick, Nathan H. “Novel Carbon-Nanotube Based Neural Interface for Chronic Recording of Glossopharyngeal Nerve Activity.” 2018. Masters Thesis, Case Western Reserve University School of Graduate Studies. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1517920588275806.

MLA Handbook (7th Edition):

Kostick, Nathan H. “Novel Carbon-Nanotube Based Neural Interface for Chronic Recording of Glossopharyngeal Nerve Activity.” 2018. Web. 25 Jun 2019.

Vancouver:

Kostick NH. Novel Carbon-Nanotube Based Neural Interface for Chronic Recording of Glossopharyngeal Nerve Activity. [Internet] [Masters thesis]. Case Western Reserve University School of Graduate Studies; 2018. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1517920588275806.

Council of Science Editors:

Kostick NH. Novel Carbon-Nanotube Based Neural Interface for Chronic Recording of Glossopharyngeal Nerve Activity. [Masters Thesis]. Case Western Reserve University School of Graduate Studies; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1517920588275806

23. Bohorquez Puentes , Eliana Alejandra. Algoritmos Paralelos en Spike Sorting .

Degree: 2013, Universidad de los Andes

 En este trabajo se realiza la paralelización de las dos últimas fases del proceso de spike sorting, los cuales son extracción de características y agrupamiento.… (more)

Subjects/Keywords: Aplicaciones paralelas; Aplicaciones en GPU; Aplicaciones en neurociencias; Spike Sorting; Superparamagnetic clustering; Discrete Wavelet Transform; Lillifors Normality Test; Algoritmos de Monte Carlo; Algoritmo Metropolis-Hastings

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APA (6th Edition):

Bohorquez Puentes , E. A. (2013). Algoritmos Paralelos en Spike Sorting . (Thesis). Universidad de los Andes. Retrieved from http://documentodegrado.uniandes.edu.co/documentos/200614422_fecha_2014_07_09_hora_17_33_07_parte_1.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bohorquez Puentes , Eliana Alejandra. “Algoritmos Paralelos en Spike Sorting .” 2013. Thesis, Universidad de los Andes. Accessed June 25, 2019. http://documentodegrado.uniandes.edu.co/documentos/200614422_fecha_2014_07_09_hora_17_33_07_parte_1.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bohorquez Puentes , Eliana Alejandra. “Algoritmos Paralelos en Spike Sorting .” 2013. Web. 25 Jun 2019.

Vancouver:

Bohorquez Puentes EA. Algoritmos Paralelos en Spike Sorting . [Internet] [Thesis]. Universidad de los Andes; 2013. [cited 2019 Jun 25]. Available from: http://documentodegrado.uniandes.edu.co/documentos/200614422_fecha_2014_07_09_hora_17_33_07_parte_1.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bohorquez Puentes EA. Algoritmos Paralelos en Spike Sorting . [Thesis]. Universidad de los Andes; 2013. Available from: http://documentodegrado.uniandes.edu.co/documentos/200614422_fecha_2014_07_09_hora_17_33_07_parte_1.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Queensland

24. Varghese, John. Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials.

Degree: School of Mechanical and Mining Engineering & School of Clinical Medicine, 2017, University of Queensland

Subjects/Keywords: Micro Electrode Recordings; neural signal processing; Power spectral analysis; Deep brain stimulation (DBS); Parkinsons disease; spike sorting; L1 minimisation; 0102 Applied Mathematics; 0903 Biomedical Engineering

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APA (6th Edition):

Varghese, J. (2017). Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:480373

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Varghese, John. “Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials.” 2017. Thesis, University of Queensland. Accessed June 25, 2019. http://espace.library.uq.edu.au/view/UQ:480373.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Varghese, John. “Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials.” 2017. Web. 25 Jun 2019.

Vancouver:

Varghese J. Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials. [Internet] [Thesis]. University of Queensland; 2017. [cited 2019 Jun 25]. Available from: http://espace.library.uq.edu.au/view/UQ:480373.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Varghese J. Probing the sub-thalamic nucleus: development of bio-markers from very Local Field Potentials. [Thesis]. University of Queensland; 2017. Available from: http://espace.library.uq.edu.au/view/UQ:480373

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Matthews, Brett Alexander. Probabilistic modeling of neural data for analysis and synthesis of speech.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 This research consists of probabilistic modeling of speech audio signals and deep-brain neurological signals in brain-computer interfaces. A significant portion of this research consists of… (more)

Subjects/Keywords: Neural spike sorting; Automatic speech recognition; Brain-computer interfaces; Machine learning; Digital signal processing; Speech synthesis; Brain-computer interfaces; Neural analyzers

spike-sorting. . . . . . . . . 91 11 Simulation parameters for inter-spike interval data… …116 34 Frame classification error rate for the proposed spike-sorting method with 3… …original probabilistic method for the task of spike-sorting in intracortical braincomputer… …occurrence times spike-sorting method to neurological data in the context of a neural prosthesis… …potential identification and classification (often called ”spike sorting”) applicable to… 

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APA (6th Edition):

Matthews, B. A. (2012). Probabilistic modeling of neural data for analysis and synthesis of speech. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50116

Chicago Manual of Style (16th Edition):

Matthews, Brett Alexander. “Probabilistic modeling of neural data for analysis and synthesis of speech.” 2012. Doctoral Dissertation, Georgia Tech. Accessed June 25, 2019. http://hdl.handle.net/1853/50116.

MLA Handbook (7th Edition):

Matthews, Brett Alexander. “Probabilistic modeling of neural data for analysis and synthesis of speech.” 2012. Web. 25 Jun 2019.

Vancouver:

Matthews BA. Probabilistic modeling of neural data for analysis and synthesis of speech. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/1853/50116.

Council of Science Editors:

Matthews BA. Probabilistic modeling of neural data for analysis and synthesis of speech. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/50116

26. Darling, Ryan Daniel. Single Cell Analysis of Hippocampal Neural Ensembles during Theta-Triggered Eyeblink Classical Conditioning in the Rabbit.

Degree: PhD, Psychology, 2008, Miami University

 Rabbit eyeblink classical conditioning (EBCC) is a task widely used to understand the neurobiological correlates of associative learning and memory. The hippocampus has proven to… (more)

Subjects/Keywords: Behaviorial Sciences; Physiological Psychology; Psychobiology; Psychology; theta; hippocampus; rabbit; classical conditioning; brain computer interface; local field potential; single unit electrophysiology; tetrode; oscillation; eyeblink; cluster cutting; spike sorting; associative learning and memory; pyramidal cell

…SEM) of specific interneuron classes, as defined by the spike triggered LFP, during the… …specific types of interneurons, as defined by the spike triggered LFP. A: O-LM interneurons… …airpuff period for specific types of interneurons, as defined by the spike triggered LFP. A: O… …for specific types of interneurons, as defined by the spike triggered LFP. A: There was an… …in both the waveform length and spike rate values reported in the literature due to… 

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APA (6th Edition):

Darling, R. D. (2008). Single Cell Analysis of Hippocampal Neural Ensembles during Theta-Triggered Eyeblink Classical Conditioning in the Rabbit. (Doctoral Dissertation). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1225460517

Chicago Manual of Style (16th Edition):

Darling, Ryan Daniel. “Single Cell Analysis of Hippocampal Neural Ensembles during Theta-Triggered Eyeblink Classical Conditioning in the Rabbit.” 2008. Doctoral Dissertation, Miami University. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1225460517.

MLA Handbook (7th Edition):

Darling, Ryan Daniel. “Single Cell Analysis of Hippocampal Neural Ensembles during Theta-Triggered Eyeblink Classical Conditioning in the Rabbit.” 2008. Web. 25 Jun 2019.

Vancouver:

Darling RD. Single Cell Analysis of Hippocampal Neural Ensembles during Theta-Triggered Eyeblink Classical Conditioning in the Rabbit. [Internet] [Doctoral dissertation]. Miami University; 2008. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1225460517.

Council of Science Editors:

Darling RD. Single Cell Analysis of Hippocampal Neural Ensembles during Theta-Triggered Eyeblink Classical Conditioning in the Rabbit. [Doctoral Dissertation]. Miami University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1225460517

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