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You searched for +publisher:"Georgia Tech" +contributor:("Potter, Steve M."). Showing records 1 – 5 of 5 total matches.

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Georgia Tech

1. Millard, Daniel C. Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2014, Georgia Tech

 A principal goal of neural engineering is to control the activation of neural circuits across space and time. The ability to control neural circuits with… (more)

Subjects/Keywords: Electrical stimulation; Optogenetics; Voltage sensitive dye imaging; Sensory; Vibrissa; Nonlinear dynamics

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APA (6th Edition):

Millard, D. C. (2014). Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53405

Chicago Manual of Style (16th Edition):

Millard, Daniel C. “Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo.” 2014. Doctoral Dissertation, Georgia Tech. Accessed October 24, 2020. http://hdl.handle.net/1853/53405.

MLA Handbook (7th Edition):

Millard, Daniel C. “Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo.” 2014. Web. 24 Oct 2020.

Vancouver:

Millard DC. Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1853/53405.

Council of Science Editors:

Millard DC. Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53405

2. Kuykendal, Michelle Lea. Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 We have developed a high-throughput system of closed-loop electrical stimulation and optical recording that facilitates the rapid characterization of extracellular stimulus-evoked neural activity. The ability… (more)

Subjects/Keywords: Selective stimulation; Extracellular electrical stimulation; MEA; Microelectrode array; Optical recording; Stochastic response; Probabilistic activation

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APA (6th Edition):

Kuykendal, M. L. (2014). Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52303

Chicago Manual of Style (16th Edition):

Kuykendal, Michelle Lea. “Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation.” 2014. Doctoral Dissertation, Georgia Tech. Accessed October 24, 2020. http://hdl.handle.net/1853/52303.

MLA Handbook (7th Edition):

Kuykendal, Michelle Lea. “Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation.” 2014. Web. 24 Oct 2020.

Vancouver:

Kuykendal ML. Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1853/52303.

Council of Science Editors:

Kuykendal ML. Closed-loop optimization of extracellular electrical stimulation for targeted neuronal activation. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52303

3. Newman, Jonathan P. Optogenetic feedback control of neural activity.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2013, Georgia Tech

 Optogenetics is a set of technologies that enable optically triggered gain or loss of function in genetically specified populations of cells. Optogenetic methods have revolutionized… (more)

Subjects/Keywords: Neuroscience; Neuroengineering; Optogenetics; Controls; Electrophysiology; Plasticity; Synaptic-scaling; Feedback; Neural computation; Neural control; Real-time feedback; Neuroscience methods; Multichannel electrophysiology; Microelectrode arrays; Firing-rate control; Network-level processing; Neural encoding

…and use of laboratory animals using a protocol approved by the Georgia Tech IACUC. Whole… 

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APA (6th Edition):

Newman, J. P. (2013). Optogenetic feedback control of neural activity. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52973

Chicago Manual of Style (16th Edition):

Newman, Jonathan P. “Optogenetic feedback control of neural activity.” 2013. Doctoral Dissertation, Georgia Tech. Accessed October 24, 2020. http://hdl.handle.net/1853/52973.

MLA Handbook (7th Edition):

Newman, Jonathan P. “Optogenetic feedback control of neural activity.” 2013. Web. 24 Oct 2020.

Vancouver:

Newman JP. Optogenetic feedback control of neural activity. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1853/52973.

Council of Science Editors:

Newman JP. Optogenetic feedback control of neural activity. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52973

4. Killian, Nathaniel J. Bioelectrical dynamics of the entorhinal cortex.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2013, Georgia Tech

 The entorhinal cortex (EC) in the medial temporal lobe plays a critical role in memory formation and is implicated in several neurological diseases including temporal… (more)

Subjects/Keywords: Spatial representation; Primate; Medial temporal lob; Entorhinal cortex; Hippocampus; Grid cell; Border cell; Memory; Saccade; Fixation; Visual; Stimulus; Saccade-direction cell; Encoding; Recognition; Macaque; Monkey; MTL; Perfusion; Perforated microelectrode array; Neurons; Brain slice; Three-dimensional culture; MEA

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APA (6th Edition):

Killian, N. J. (2013). Bioelectrical dynamics of the entorhinal cortex. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52148

Chicago Manual of Style (16th Edition):

Killian, Nathaniel J. “Bioelectrical dynamics of the entorhinal cortex.” 2013. Doctoral Dissertation, Georgia Tech. Accessed October 24, 2020. http://hdl.handle.net/1853/52148.

MLA Handbook (7th Edition):

Killian, Nathaniel J. “Bioelectrical dynamics of the entorhinal cortex.” 2013. Web. 24 Oct 2020.

Vancouver:

Killian NJ. Bioelectrical dynamics of the entorhinal cortex. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1853/52148.

Council of Science Editors:

Killian NJ. Bioelectrical dynamics of the entorhinal cortex. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52148

5. Gollnick, Clare Ann. Probabilistic encoding and feature selectivity in the somatosensory pathway.

Degree: PhD, Biomedical Engineering (Joint GT/Emory Department), 2014, Georgia Tech

 Our sensory experiences are encoded in the patterns of activity of the neurons in our brain. While we know we are capable of sensing and… (more)

Subjects/Keywords: Neural code; Somatosensation; Barrel cortex

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APA (6th Edition):

Gollnick, C. A. (2014). Probabilistic encoding and feature selectivity in the somatosensory pathway. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54025

Chicago Manual of Style (16th Edition):

Gollnick, Clare Ann. “Probabilistic encoding and feature selectivity in the somatosensory pathway.” 2014. Doctoral Dissertation, Georgia Tech. Accessed October 24, 2020. http://hdl.handle.net/1853/54025.

MLA Handbook (7th Edition):

Gollnick, Clare Ann. “Probabilistic encoding and feature selectivity in the somatosensory pathway.” 2014. Web. 24 Oct 2020.

Vancouver:

Gollnick CA. Probabilistic encoding and feature selectivity in the somatosensory pathway. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Oct 24]. Available from: http://hdl.handle.net/1853/54025.

Council of Science Editors:

Gollnick CA. Probabilistic encoding and feature selectivity in the somatosensory pathway. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54025

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