Matthew Chalk

Affiliations: 
2018- Institut de la Vision Sorbonne Université, Paris, France 
Area:
Computational neuroscience
Website:
https://matthewjchalk.wixsite.com/mysite
Google:
"https://scholar.google.fr/citations?user=eUTdJEcAAAAJ&hl=en&oi=ao"
Mean distance: 15.06 (cluster 17)
 
SNBCP
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Publications

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Chalk M, Marre O, Tkačik G. (2018) Toward a unified theory of efficient, predictive, and sparse coding. Proceedings of the National Academy of Sciences of the United States of America. 115: 186-191
Chalk M, Masset P, Gutkin B, et al. (2017) Sensory noise predicts divisive reshaping of receptive fields. Plos Computational Biology. 13: e1005582
Deneve S, Chalk M. (2016) Efficiency turns the table on neural encoding, decoding and noise. Current Opinion in Neurobiology. 37: 141-148
Chalk M, Murray I, Seriès P. (2013) Attention as reward-driven optimization of sensory processing. Neural Computation. 25: 2904-33
Gekas N, Chalk M, Seitz AR, et al. (2013) Complexity and specificity of experimentally-induced expectations in motion perception. Journal of Vision. 13
Chalk M, Seitz AR, Seriès P. (2010) Rapidly learned stimulus expectations alter perception of motion. Journal of Vision. 10: 2
Chalk M, Herrero JL, Gieselmann MA, et al. (2010) Attention reduces stimulus-driven gamma frequency oscillations and spike field coherence in V1. Neuron. 66: 114-25
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