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
Sensory noise predicts divisive reshaping of receptive fields
M Chalk, P Masset, S Deneve, B Gutkin
PLoS Computational Biology 13 (6), e1005582, 2017
Efficiency turns the table on neural encoding, decoding and noise
S Deneve, M Chalk
Current Opinion in Neurobiology 37, 141-148, 2016
Human-in-the-loop optimization of visual prosthetic stimulation
T Fauvel, M Chalk
Journal of Neural Engineering 19 (3), 036038, 2022
Inferring the function performed by a recurrent neural network
M Chalk, G Tkacik, O Marre
Plos one 16 (4), e0248940, 2021
Efficient exploration in binary and preferential Bayesian optimization
T Fauvel, M Chalk
arXiv preprint arXiv:2110.09361, 2021
Signatures of criticality in efficient coding networks
S Safavi, M Chalk, N Logothetis, A Levina
bioRxiv, 2023.02. 14.528465, 2023
Attention as reward-driven optimization of sensory processing
M Chalk, I Murray, P Seriès
Neural computation 25 (11), 2904-2933, 2013
Human-in-the-loop optimization for deep stimulus encoding in visual prostheses
J Granley, T Fauvel, M Chalk, M Beyeler
Advances in Neural Information Processing Systems 36, 2024
Contextual Bayesian optimization with binary outputs
T Fauvel, M Chalk
arXiv preprint arXiv:2111.03447, 2021
Encoding surprise by retinal ganglion cells
D Despotović, C Joffrois, O Marre, M Chalk
PLOS Computational Biology 20 (4), e1011965, 2024
Scalable gaussian process inference of neural responses to natural images
MA Goldin, S Virgili, M Chalk
PNAS 120 (34), e2301150120, 2023
Signatures of criticality in efficient coding networks
A Levina, N Logothetis, M Chalk, S Safavi
bio Rxiv, 2023
2009-2012: Marie Curie Exchange Grant: FP7-PEOPLE-2009-IRSES with Norbert Kopco (Slovakia) and Aaron Seitz (USA). co-PI (£ 50,000 for Edinburgh).
M Chalk, G Sotiropoulos, V Valton, S Yarrow, N Gekas
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