Stephen Elisha Clarke, PhD

Affiliations: 
2010-2017 Cellular and Molecular Medicine University of Ottawa, Ottawa, ON, Canada 
 2017- Bioengineering Stanford University, Palo Alto, CA 
Area:
Neuroscience
Website:
https://www.researchgate.net/profile/Stephen_Clarke14
Google:
"Stephen Clarke"
Bio:

Stephen came from Leonard Maler's lab at the University of Ottawa. He is currently engaged in his post-doctoral work with Paul Nuyujukian (Brain Interfacing Lab) at Stanford University.

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Publications

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Trinh AT, Clarke SE, Harvey-Girard E, et al. (2019) Cellular and network mechanisms may generate sparse coding of sequential object encounters in hippocampal-like circuits. Eneuro
Clarke SE. (2018) Analog Signaling With the "Digital" Molecular Switch CaMKII. Frontiers in Computational Neuroscience. 12: 92
Clarke SE, Maler L. (2017) Feedback Synthesizes Neural Codes for Motion. Current Biology : Cb
Marcoux CM, Clarke SE, Nesse WH, et al. (2015) Balanced ionotropic receptor dynamics support signal estimation via voltage-dependent membrane noise. Journal of Neurophysiology. jn.00786.2015
Clarke SE, Longtin A, Maler L. (2015) Contrast coding in the electrosensory system: parallels with visual computation. Nature Reviews. Neuroscience
Clarke SE, Longtin A, Maler L. (2015) The neural dynamics of sensory focus. Nature Communications. 6: 8764
Clarke SE, Longtin A, Maler L. (2014) A neural code for looming and receding motion is distributed over a population of electrosensory ON and OFF contrast cells. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 5583-94
Clarke SE, Naud R, Longtin A, et al. (2014) Neural coding strategies for extracting motion estimates from electrosensory contrast Bmc Neuroscience. 15
Wong AY, Borduas JF, Clarke S, et al. (2013) Calcium influx through N-type channels and activation of SK and TRP-like channels regulates tonic firing of neurons in rat paraventricular thalamus. Journal of Neurophysiology. 110: 2450-64
Clarke SE, Naud R, Longtin A, et al. (2013) Speed-invariant encoding of looming object distance requires power law spike rate adaptation. Proceedings of the National Academy of Sciences of the United States of America. 110: 13624-9
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