Matthew Chalk
Affiliations: | 2018- | Institut de la Vision | Sorbonne Université, Paris, France |
Area:
Computational neuroscienceWebsite:
https://matthewjchalk.wixsite.com/mysiteGoogle:
"https://scholar.google.fr/citations?user=eUTdJEcAAAAJ&hl=en&oi=ao"Mean distance: 15.06 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Peggy Seriès | grad student | 2008-2012 | Edinburgh |
| Olivier Marre | post-doc | Sorbonne Université | |
| Gasper Tkacik | post-doc | IST Austria | |
| Sophie M. Deneve | post-doc | 2012-2014 | ENS Paris |
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Publications
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| Chalk M, Tkacik G, Marre O. (2021) Inferring the function performed by a recurrent neural network. Plos One. 16: e0248940 |
| 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 |
| Chalk M, Gutkin B, Denève S. (2016) Neural oscillations as a signature of efficient coding in the presence of synaptic delays. Elife. 5 |
| Deneve S, Chalk M. (2016) Efficiency turns the table on neural encoding, decoding and noise. Current Opinion in Neurobiology. 37: 141-148 |
| Chalk M, Gutkin B, Denève S. (2016) Author response: Neural oscillations as a signature of efficient coding in the presence of synaptic delays Elife |
| 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, Murray I, Seriès P. (2011) The influence of behavioral context on sensory encoding Bmc Neuroscience. 12: 295 |
| Chalk M, Seitz AR, Seriès P. (2010) Rapidly learned stimulus expectations alter perception of motion. Journal of Vision. 10: 2 |