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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| Granley J, Fauvel T, Chalk M, et al. (2024) Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. Advances in Neural Information Processing Systems. 36: 79376-79398 |
| Despotović D, Joffrois C, Marre O, et al. (2024) Encoding surprise by retinal ganglion cells. Plos Computational Biology. 20: e1011965 |
| Goldin MA, Virgili S, Chalk M. (2023) Scalable Gaussian process inference of neural responses to natural images. Proceedings of the National Academy of Sciences of the United States of America. 120: e2301150120 |
| 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 |