Matthew Chalk
Matthew Chalk
Sorbonne Universite
Verified email at - Homepage
Cited by
Cited by
Attention reduces stimulus-driven gamma frequency oscillations and spike field coherence in V1
M Chalk, JL Herrero, MA Gieselmann, LS Delicato, S Gotthardt, A Thiele
Neuron 66 (1), 114-125, 2010
Rapidly learned stimulus expectations alter perception of motion
M Chalk, AR Seitz, P Seriès
Journal of vision 10 (8), 2-2, 2010
Toward a unified theory of efficient, predictive, and sparse coding
M Chalk, O Marre, G Tkačik
Proceedings of the National Academy of Sciences 115 (1), 186-191, 2018
Relevant sparse codes with variational information bottleneck
M Chalk, O Marre, G Tkacik
Advances in Neural Information Processing Systems 29, 2016
Complexity and specificity of experimentally-induced expectations in motion perception
N Gekas, M Chalk, AR Seitz, P Seriès
Journal of Vision 13 (4), 8-8, 2013
Neural oscillations as a signature of efficient coding in the presence of synaptic delays
M Chalk, B Gutkin, S Deneve
Elife 5, e13824, 2016
Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons
U Ferrari, S Deny, M Chalk, G Tkačik, O Marre, T Mora
Physical Review E 98 (4), 042410, 2018
Efficiency turns the table on neural encoding, decoding and noise
S Deneve, M Chalk
Current Opinion in Neurobiology 37, 141-148, 2016
Sensory noise predicts divisive reshaping of receptive fields
M Chalk, P Masset, S Deneve, B Gutkin
Plos Computational Biology 13 (6), e1005582, 2017
Inferring the function performed by a recurrent neural network
M Chalk, G Tkačik, O Marre
biorxiv, 598086, 2019
Efficient exploration in binary and preferential Bayesian optimization
T Fauvel, M Chalk
arXiv preprint arXiv:2110.09361, 2021
Attention as reward-driven optimization of sensory processing
M Chalk, I Murray, P Seriès
Neural computation 25 (11), 2904-2933, 2013
Inferring the function performed by a recurrent neural network
M Chalk, G Tkacik, O Marre
Plos one 16 (4), e0248940, 2021
Human-in-the-loop optimization of visual prosthetic stimulation
T Fauvel, M Chalk
Journal of Neural Engineering 19 (3), 036038, 2022
Contextual Bayesian optimization with binary outputs
T Fauvel, M Chalk
arXiv preprint arXiv:2111.03447, 2021
Signatures of criticality in efficient coding networks
S Safavi, M Chalk, N Logothetis, A Levina
bioRxiv, 2023.02. 14.528465, 2023
Scalable gaussian process inference of neural responses to natural images
MA Goldin, S Virgili, M Chalk
bioRxiv, 2023.01. 13.523423, 2023
Encoding surprise by retinal ganglion cells
DM Despotovic, C Joffrois, OM Marre, M Chalk
bioRxiv, 2022.10. 15.512347, 2022
Signatures of criticality observed in efficient coding networks
A Levina, S Safavi, NK Logothetis, M Chalk
Computational and Systems Neuroscience Meeting (COSYNE 2020), 109, 2020
From optimal efficient coding to criticality
S Safavi, M Chalk, NK Logothetis, A Levina
Conference on Complex Systems (CCS 2018) Satellite: Complexity from Cells to …, 2018
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