Chandramouli Chandrasekaran, Ph.D.

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Auditory Cortex, Coherence
Google:
"Chandramouli Chandrasekaran"
Mean distance: 13.26 (cluster 29)
 
SNBCP
Cross-listing: CSD Tree

Parents

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Zoe Kourtzi grad student 2004-2005 MPI for Biological Cybernetics
 (Master's Thesis)
Asif A. Ghazanfar grad student 2006-2011 Princeton
 (Natural Signal Structure and its Role in Audiovisual Communication.)
Krishna V. Shenoy post-doc 2011- Stanford
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Publications

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Lee EK, Balasubramanian H, Tsolias A, et al. (2021) Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex. Elife. 10
Peixoto D, Verhein JR, Kiani R, et al. (2021) Decoding and perturbing decision states in real time. Nature
O'Shea DJ, Kalanithi P, Ferenczi EA, et al. (2019) Publisher Correction: Development of an optogenetic toolkit for neural circuit dissection in squirrel monkeys. Scientific Reports. 9: 18775
Wang M, Montanède C, Chandrasekaran C, et al. (2019) Macaque dorsal premotor cortex exhibits decision-related activity only when specific stimulus-response associations are known. Nature Communications. 10: 1793
Chandrasekaran C, Bray IE, Shenoy KV. (2019) Frequency shifts and depth dependence of premotor beta band activity during perceptual decision-making. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
O'Shea DJ, Kalanithi P, Ferenczi EA, et al. (2018) Development of an optogenetic toolkit for neural circuit dissection in squirrel monkeys. Scientific Reports. 8: 6775
Chandrasekaran C, Peixoto D, Newsome WT, et al. (2017) Laminar differences in decision-related neural activity in dorsal premotor cortex. Nature Communications. 8: 614
O'Shea DJ, Trautmann E, Chandrasekaran C, et al. (2016) The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces. Experimental Neurology
Chandrasekaran C, Lemus L, Ghazanfar AA. (2013) Dynamic faces speed up the onset of auditory cortical spiking responses during vocal detection. Proceedings of the National Academy of Sciences of the United States of America. 110: E4668-77
Chandrasekaran C, Lemus L, Trubanova A, et al. (2011) Monkeys and humans share a common computation for face/voice integration. Plos Computational Biology. 7: e1002165
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