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You searched for +publisher:"Harvard University" +contributor:("Murthy, Venkatesh"). Showing records 1 – 17 of 17 total matches.

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Harvard University

1. Hattori, Ryoma. Neural Mechanisms Underlying the Establishment of Unimodality in Mouse Primary Visual Cortex.

Degree: 2016, Harvard University

Early visual cortex, an area classically defined as a purely unisensory cortex, has been suggested to be influenced by non-visual sensory inputs (Wallace et al.,… (more)

Subjects/Keywords: Biology; Neuroscience

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APA (6th Edition):

Hattori, R. (2016). Neural Mechanisms Underlying the Establishment of Unimodality in Mouse Primary Visual Cortex. (Thesis). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:26718754

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):

Hattori, Ryoma. “Neural Mechanisms Underlying the Establishment of Unimodality in Mouse Primary Visual Cortex.” 2016. Thesis, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:26718754.

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

MLA Handbook (7th Edition):

Hattori, Ryoma. “Neural Mechanisms Underlying the Establishment of Unimodality in Mouse Primary Visual Cortex.” 2016. Web. 27 Oct 2020.

Vancouver:

Hattori R. Neural Mechanisms Underlying the Establishment of Unimodality in Mouse Primary Visual Cortex. [Internet] [Thesis]. Harvard University; 2016. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:26718754.

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

Council of Science Editors:

Hattori R. Neural Mechanisms Underlying the Establishment of Unimodality in Mouse Primary Visual Cortex. [Thesis]. Harvard University; 2016. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:26718754

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


Harvard University

2. Lee, Jeffrey B. A Framework for Understanding Small Nervous Systems.

Degree: 2017, Harvard University

How do we find important neurons and understand how their dynamics control behavior? Both of these are challenging and general problems in neuroscience. In this… (more)

Subjects/Keywords: Biology, Neuroscience; Engineering, Robotics; Physics, Optics

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APA (6th Edition):

Lee, J. B. (2017). A Framework for Understanding Small Nervous Systems. (Thesis). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:37944977

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):

Lee, Jeffrey B. “A Framework for Understanding Small Nervous Systems.” 2017. Thesis, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:37944977.

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

MLA Handbook (7th Edition):

Lee, Jeffrey B. “A Framework for Understanding Small Nervous Systems.” 2017. Web. 27 Oct 2020.

Vancouver:

Lee JB. A Framework for Understanding Small Nervous Systems. [Internet] [Thesis]. Harvard University; 2017. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:37944977.

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

Council of Science Editors:

Lee JB. A Framework for Understanding Small Nervous Systems. [Thesis]. Harvard University; 2017. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:37944977

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


Harvard University

3. Mathis, Mackenzie. Prediction Errors Drive Learning in a Mouse Model of Motor Adaptation.

Degree: PhD, 2017, Harvard University

The brain builds internal models of our body and environment. The nature and purpose of these models have been a matter of philosophical and scientific… (more)

Subjects/Keywords: motor adaptation; sensorimotor learning; force field adaptation; mouse; primary somatosensory cortex; sensory prediction error; reward prediction errors; optogenetics

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APA (6th Edition):

Mathis, M. (2017). Prediction Errors Drive Learning in a Mouse Model of Motor Adaptation. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142031

Chicago Manual of Style (16th Edition):

Mathis, Mackenzie. “Prediction Errors Drive Learning in a Mouse Model of Motor Adaptation.” 2017. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142031.

MLA Handbook (7th Edition):

Mathis, Mackenzie. “Prediction Errors Drive Learning in a Mouse Model of Motor Adaptation.” 2017. Web. 27 Oct 2020.

Vancouver:

Mathis M. Prediction Errors Drive Learning in a Mouse Model of Motor Adaptation. [Internet] [Doctoral dissertation]. Harvard University; 2017. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142031.

Council of Science Editors:

Mathis M. Prediction Errors Drive Learning in a Mouse Model of Motor Adaptation. [Doctoral Dissertation]. Harvard University; 2017. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41142031


Harvard University

4. Brady, Daniel. Mechanisms of Cross-Modal Refinement by Visual Experience.

Degree: PhD, Neurobiology, 2011, Harvard University

 Alteration of one sensory system can have striking effects on the processing and organization of the remaining senses, a phenomenon known as cross-modal plasticity. The… (more)

Subjects/Keywords: cross-modal; development; experience-dependent; multisensory; plasticity; visual cortex; neurosciences

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APA (6th Edition):

Brady, D. (2011). Mechanisms of Cross-Modal Refinement by Visual Experience. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:10033910

Chicago Manual of Style (16th Edition):

Brady, Daniel. “Mechanisms of Cross-Modal Refinement by Visual Experience.” 2011. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:10033910.

MLA Handbook (7th Edition):

Brady, Daniel. “Mechanisms of Cross-Modal Refinement by Visual Experience.” 2011. Web. 27 Oct 2020.

Vancouver:

Brady D. Mechanisms of Cross-Modal Refinement by Visual Experience. [Internet] [Doctoral dissertation]. Harvard University; 2011. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10033910.

Council of Science Editors:

Brady D. Mechanisms of Cross-Modal Refinement by Visual Experience. [Doctoral Dissertation]. Harvard University; 2011. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10033910


Harvard University

5. Otchy, Timothy Matthew. Neural Circuit Mechanisms Underlying Skill Learning, Adaptation, and Maintenance.

Degree: PhD, 2016, Harvard University

 Part I Mastering a motor skill, such as a playing the guitar, requires precisely controlling both spatial and temporal aspects of motor output – that… (more)

Subjects/Keywords: Biology; Neuroscience

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APA (6th Edition):

Otchy, T. M. (2016). Neural Circuit Mechanisms Underlying Skill Learning, Adaptation, and Maintenance. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493332

Chicago Manual of Style (16th Edition):

Otchy, Timothy Matthew. “Neural Circuit Mechanisms Underlying Skill Learning, Adaptation, and Maintenance.” 2016. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493332.

MLA Handbook (7th Edition):

Otchy, Timothy Matthew. “Neural Circuit Mechanisms Underlying Skill Learning, Adaptation, and Maintenance.” 2016. Web. 27 Oct 2020.

Vancouver:

Otchy TM. Neural Circuit Mechanisms Underlying Skill Learning, Adaptation, and Maintenance. [Internet] [Doctoral dissertation]. Harvard University; 2016. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493332.

Council of Science Editors:

Otchy TM. Neural Circuit Mechanisms Underlying Skill Learning, Adaptation, and Maintenance. [Doctoral Dissertation]. Harvard University; 2016. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493332


Harvard University

6. Morcos, Ari Simon. Population dynamics in parietal cortex during evidence accumulation for decision-making.

Degree: PhD, 2016, Harvard University

Cortical circuits combine new inputs with ongoing activity during a variety of behaviors, including evidence accumulation during decision-making. However, the neural circuit mechanisms underlying how… (more)

Subjects/Keywords: Biology; Neuroscience

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APA (6th Edition):

Morcos, A. S. (2016). Population dynamics in parietal cortex during evidence accumulation for decision-making. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493459

Chicago Manual of Style (16th Edition):

Morcos, Ari Simon. “Population dynamics in parietal cortex during evidence accumulation for decision-making.” 2016. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493459.

MLA Handbook (7th Edition):

Morcos, Ari Simon. “Population dynamics in parietal cortex during evidence accumulation for decision-making.” 2016. Web. 27 Oct 2020.

Vancouver:

Morcos AS. Population dynamics in parietal cortex during evidence accumulation for decision-making. [Internet] [Doctoral dissertation]. Harvard University; 2016. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493459.

Council of Science Editors:

Morcos AS. Population dynamics in parietal cortex during evidence accumulation for decision-making. [Doctoral Dissertation]. Harvard University; 2016. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493459


Harvard University

7. Abbott, Jeffrey Townsley. The Electrical Interface between Solid-State Electronics and Biology: Applications in Biomolecular Sensing and Electrophysiological Interrogations.

Degree: PhD, 2017, Harvard University

Electrical interactions between biology and integrated electronics enable biomolecular detection and electrophysiological investigations to be performed at the chip-scale, for low-cost, and in a highly… (more)

Subjects/Keywords: biomolecular sensing; electrophysiological interrogations; nanoelectrode array; graphene array; ion-sensitive field effect transistor; current stimulator; switched-capacitor

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APA (6th Edition):

Abbott, J. T. (2017). The Electrical Interface between Solid-State Electronics and Biology: Applications in Biomolecular Sensing and Electrophysiological Interrogations. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:41141534

Chicago Manual of Style (16th Edition):

Abbott, Jeffrey Townsley. “The Electrical Interface between Solid-State Electronics and Biology: Applications in Biomolecular Sensing and Electrophysiological Interrogations.” 2017. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:41141534.

MLA Handbook (7th Edition):

Abbott, Jeffrey Townsley. “The Electrical Interface between Solid-State Electronics and Biology: Applications in Biomolecular Sensing and Electrophysiological Interrogations.” 2017. Web. 27 Oct 2020.

Vancouver:

Abbott JT. The Electrical Interface between Solid-State Electronics and Biology: Applications in Biomolecular Sensing and Electrophysiological Interrogations. [Internet] [Doctoral dissertation]. Harvard University; 2017. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41141534.

Council of Science Editors:

Abbott JT. The Electrical Interface between Solid-State Electronics and Biology: Applications in Biomolecular Sensing and Electrophysiological Interrogations. [Doctoral Dissertation]. Harvard University; 2017. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:41141534


Harvard University

8. Venkatachalam, Veena. Engineering microbial rhodopsins to expand the optogenetic toolkit.

Degree: PhD, Biophysics, 2014, Harvard University

 Cellular lipid membranes can – and often do – support a transmembrane electric field, serving as biological capacitors that maintain a voltage difference between their… (more)

Subjects/Keywords: Biophysics; Neurosciences; Archaerhodopsin; Channelrhodopsin; Microbial rhodopsin; Optogenetics; Photocycle

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APA (6th Edition):

Venkatachalam, V. (2014). Engineering microbial rhodopsins to expand the optogenetic toolkit. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070063

Chicago Manual of Style (16th Edition):

Venkatachalam, Veena. “Engineering microbial rhodopsins to expand the optogenetic toolkit.” 2014. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070063.

MLA Handbook (7th Edition):

Venkatachalam, Veena. “Engineering microbial rhodopsins to expand the optogenetic toolkit.” 2014. Web. 27 Oct 2020.

Vancouver:

Venkatachalam V. Engineering microbial rhodopsins to expand the optogenetic toolkit. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070063.

Council of Science Editors:

Venkatachalam V. Engineering microbial rhodopsins to expand the optogenetic toolkit. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070063


Harvard University

9. Migl, David. Recognition of the Centromeric Nucleosome By the Kinetochore in Budding Yeast.

Degree: PhD, 2019, Harvard University

Kinetochores mediate chromosome segregation during cell division. They assemble on centromeric nucleosomes and capture spindle microtubules. In budding yeast, a kinetochore links a single nucleosome,… (more)

Subjects/Keywords: Structural biology; nucleosome; centromere; kinetochore; cryo-EM; histone; yeast; biochemistry

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APA (6th Edition):

Migl, D. (2019). Recognition of the Centromeric Nucleosome By the Kinetochore in Budding Yeast. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013140

Chicago Manual of Style (16th Edition):

Migl, David. “Recognition of the Centromeric Nucleosome By the Kinetochore in Budding Yeast.” 2019. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013140.

MLA Handbook (7th Edition):

Migl, David. “Recognition of the Centromeric Nucleosome By the Kinetochore in Budding Yeast.” 2019. Web. 27 Oct 2020.

Vancouver:

Migl D. Recognition of the Centromeric Nucleosome By the Kinetochore in Budding Yeast. [Internet] [Doctoral dissertation]. Harvard University; 2019. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013140.

Council of Science Editors:

Migl D. Recognition of the Centromeric Nucleosome By the Kinetochore in Budding Yeast. [Doctoral Dissertation]. Harvard University; 2019. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013140


Harvard University

10. Altheimer, Benjamin D. Single-molecule DNA rotation tracking using DNA origami rotors.

Degree: PhD, 2019, Harvard University

The rotation of DNA is an intrinsic part of many protein activities. Many DNA motor proteins, including helicases, translocases, and polymerases, rotate their DNA substrate… (more)

Subjects/Keywords: Single-molecule; Biophysics; Rotation tracking; DNA; DNA rotation; Protein-DNA interactions; DNA biophysics; Enzymology; Enzyme kinetics; Fluorescence tracking; RNA polymerase, RecBCD

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APA (6th Edition):

Altheimer, B. D. (2019). Single-molecule DNA rotation tracking using DNA origami rotors. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013119

Chicago Manual of Style (16th Edition):

Altheimer, Benjamin D. “Single-molecule DNA rotation tracking using DNA origami rotors.” 2019. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013119.

MLA Handbook (7th Edition):

Altheimer, Benjamin D. “Single-molecule DNA rotation tracking using DNA origami rotors.” 2019. Web. 27 Oct 2020.

Vancouver:

Altheimer BD. Single-molecule DNA rotation tracking using DNA origami rotors. [Internet] [Doctoral dissertation]. Harvard University; 2019. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013119.

Council of Science Editors:

Altheimer BD. Single-molecule DNA rotation tracking using DNA origami rotors. [Doctoral Dissertation]. Harvard University; 2019. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42013119


Harvard University

11. Chu, Yun. The Role of Protein Kinase C in Short-Term Synaptic Plasticity.

Degree: PhD, Biology: Medical Sciences, Division of, 2014, Harvard University

 Short-term synaptic plasticity results from use-dependent activity, lasts on the timescale of milliseconds to minutes, and is thought to underlie working memory and neuronal information… (more)

Subjects/Keywords: Neurosciences; Physiology; Biology; calyx of Held; glycine receptor; post-tetanic potentiation; presynaptic calcium; protein kinase C; synaptic plasticity

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APA (6th Edition):

Chu, Y. (2014). The Role of Protein Kinase C in Short-Term Synaptic Plasticity. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274616

Chicago Manual of Style (16th Edition):

Chu, Yun. “The Role of Protein Kinase C in Short-Term Synaptic Plasticity.” 2014. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274616.

MLA Handbook (7th Edition):

Chu, Yun. “The Role of Protein Kinase C in Short-Term Synaptic Plasticity.” 2014. Web. 27 Oct 2020.

Vancouver:

Chu Y. The Role of Protein Kinase C in Short-Term Synaptic Plasticity. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274616.

Council of Science Editors:

Chu Y. The Role of Protein Kinase C in Short-Term Synaptic Plasticity. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274616

12. Maniatis, Silas dana. Classical Conditioning Alters Short Noncoding RNA Expression in Drosophila.

Degree: PhD, 2015, Harvard University

MicroRNAs (miRNAs) and other classes of short non-coding RNAs regulate essential processes in the development and function of the nervous system. Regulation of miRNAs by… (more)

Subjects/Keywords: Biology; Molecular

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APA (6th Edition):

Maniatis, S. d. (2015). Classical Conditioning Alters Short Noncoding RNA Expression in Drosophila. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467392

Chicago Manual of Style (16th Edition):

Maniatis, Silas dana. “Classical Conditioning Alters Short Noncoding RNA Expression in Drosophila.” 2015. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467392.

MLA Handbook (7th Edition):

Maniatis, Silas dana. “Classical Conditioning Alters Short Noncoding RNA Expression in Drosophila.” 2015. Web. 27 Oct 2020.

Vancouver:

Maniatis Sd. Classical Conditioning Alters Short Noncoding RNA Expression in Drosophila. [Internet] [Doctoral dissertation]. Harvard University; 2015. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467392.

Council of Science Editors:

Maniatis Sd. Classical Conditioning Alters Short Noncoding RNA Expression in Drosophila. [Doctoral Dissertation]. Harvard University; 2015. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467392

13. Kostadinov, Dimitar. Mechanism and Function of Dendritic Self-Avoidance and Self/non-Self Discrimination in the Mammalian Nervous System.

Degree: PhD, 2015, Harvard University

Dendritic and axonal arbors of many neuronal types exhibit self-avoidance, a phenomenon in which branches repel each other. This process ensures that individual neurons cover… (more)

Subjects/Keywords: Biology; Neuroscience

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APA (6th Edition):

Kostadinov, D. (2015). Mechanism and Function of Dendritic Self-Avoidance and Self/non-Self Discrimination in the Mammalian Nervous System. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:23845402

Chicago Manual of Style (16th Edition):

Kostadinov, Dimitar. “Mechanism and Function of Dendritic Self-Avoidance and Self/non-Self Discrimination in the Mammalian Nervous System.” 2015. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:23845402.

MLA Handbook (7th Edition):

Kostadinov, Dimitar. “Mechanism and Function of Dendritic Self-Avoidance and Self/non-Self Discrimination in the Mammalian Nervous System.” 2015. Web. 27 Oct 2020.

Vancouver:

Kostadinov D. Mechanism and Function of Dendritic Self-Avoidance and Self/non-Self Discrimination in the Mammalian Nervous System. [Internet] [Doctoral dissertation]. Harvard University; 2015. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:23845402.

Council of Science Editors:

Kostadinov D. Mechanism and Function of Dendritic Self-Avoidance and Self/non-Self Discrimination in the Mammalian Nervous System. [Doctoral Dissertation]. Harvard University; 2015. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:23845402

14. Poddar, Rajesh. A high-throughput system for automated training combined with continuous long-term neural recordings in rodents.

Degree: PhD, 2015, Harvard University

Addressing the neural mechanisms underlying complex learned behaviors requires training animals in well-controlled tasks and concurrently measuring neural activity in their brains, an often time-consuming… (more)

Subjects/Keywords: Biology; Neuroscience

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APA (6th Edition):

Poddar, R. (2015). A high-throughput system for automated training combined with continuous long-term neural recordings in rodents. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463149

Chicago Manual of Style (16th Edition):

Poddar, Rajesh. “A high-throughput system for automated training combined with continuous long-term neural recordings in rodents.” 2015. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463149.

MLA Handbook (7th Edition):

Poddar, Rajesh. “A high-throughput system for automated training combined with continuous long-term neural recordings in rodents.” 2015. Web. 27 Oct 2020.

Vancouver:

Poddar R. A high-throughput system for automated training combined with continuous long-term neural recordings in rodents. [Internet] [Doctoral dissertation]. Harvard University; 2015. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463149.

Council of Science Editors:

Poddar R. A high-throughput system for automated training combined with continuous long-term neural recordings in rodents. [Doctoral Dissertation]. Harvard University; 2015. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463149

15. Ebrahim, Senan. Automated Detection and Prediction of Seizures Using Probing Neurostimulation.

Degree: PhD, 2019, Harvard University

To study and prevent seizures in patients with epilepsy, clinical neurophysiologists seek effective methods to detect seizures, and ideally predict them for timely intervention. EEG… (more)

Subjects/Keywords: Epilepsy; Machine Learning; Seizures; Prediction; Predictive Analytics; Neurostimulation, Stimulation

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APA (6th Edition):

Ebrahim, S. (2019). Automated Detection and Prediction of Seizures Using Probing Neurostimulation. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029517

Chicago Manual of Style (16th Edition):

Ebrahim, Senan. “Automated Detection and Prediction of Seizures Using Probing Neurostimulation.” 2019. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029517.

MLA Handbook (7th Edition):

Ebrahim, Senan. “Automated Detection and Prediction of Seizures Using Probing Neurostimulation.” 2019. Web. 27 Oct 2020.

Vancouver:

Ebrahim S. Automated Detection and Prediction of Seizures Using Probing Neurostimulation. [Internet] [Doctoral dissertation]. Harvard University; 2019. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029517.

Council of Science Editors:

Ebrahim S. Automated Detection and Prediction of Seizures Using Probing Neurostimulation. [Doctoral Dissertation]. Harvard University; 2019. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42029517

16. Ramesh, Rohan N. Value Representations in Visual Association Cortex.

Degree: PhD, 2018, Harvard University

The needs of the body can direct neural processing towards motivationally-relevant sensory stimuli. For example, humans attend more to food cues during hungry versus sated… (more)

Subjects/Keywords: Biology; Neuroscience

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APA (6th Edition):

Ramesh, R. N. (2018). Value Representations in Visual Association Cortex. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:39947208

Chicago Manual of Style (16th Edition):

Ramesh, Rohan N. “Value Representations in Visual Association Cortex.” 2018. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:39947208.

MLA Handbook (7th Edition):

Ramesh, Rohan N. “Value Representations in Visual Association Cortex.” 2018. Web. 27 Oct 2020.

Vancouver:

Ramesh RN. Value Representations in Visual Association Cortex. [Internet] [Doctoral dissertation]. Harvard University; 2018. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:39947208.

Council of Science Editors:

Ramesh RN. Value Representations in Visual Association Cortex. [Doctoral Dissertation]. Harvard University; 2018. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:39947208

17. Huang, Kuo-Hua. Control of Turning Behaviors by Spinal Projection Neurons in the Larval Zebrafish.

Degree: PhD, Neurobiology, 2012, Harvard University

 This thesis aims to examine how hindbrain spinal projection neurons (SPNs), namely RoV3, MiV1 and MiV2 control tail undulations during turning behaviors. I find that… (more)

Subjects/Keywords: behavior; descending; motor; spinal; turning; zebrafish; neurosciences; biology

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

APA (6th Edition):

Huang, K. (2012). Control of Turning Behaviors by Spinal Projection Neurons in the Larval Zebrafish. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:9561258

Chicago Manual of Style (16th Edition):

Huang, Kuo-Hua. “Control of Turning Behaviors by Spinal Projection Neurons in the Larval Zebrafish.” 2012. Doctoral Dissertation, Harvard University. Accessed October 27, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:9561258.

MLA Handbook (7th Edition):

Huang, Kuo-Hua. “Control of Turning Behaviors by Spinal Projection Neurons in the Larval Zebrafish.” 2012. Web. 27 Oct 2020.

Vancouver:

Huang K. Control of Turning Behaviors by Spinal Projection Neurons in the Larval Zebrafish. [Internet] [Doctoral dissertation]. Harvard University; 2012. [cited 2020 Oct 27]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:9561258.

Council of Science Editors:

Huang K. Control of Turning Behaviors by Spinal Projection Neurons in the Larval Zebrafish. [Doctoral Dissertation]. Harvard University; 2012. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:9561258

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