D Despotovic, C Joffrois, O Marre, M Chalk, Encoding surprise by retinal ganglion cells, PLoS Comp. Bio. (2024)
Granley, J., Fauvel, T., Chalk, M., & Beyeler, M. Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. Advances in Neural Information Processing Systems, 36. (2024)
M Goldin, S Virgili, M Chalk, Scalable gaussian inference of neural responses to natural images,Proceedings of the National Academy of Sciences of the United States of America (PNAS), 120(34), 2023
Safavi, S., Chalk, M., Logothetis, N., & Levina, A.. Signatures of criticality in efficient coding networks. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 121(41) e2302730121, (2024)
T Fauvel, M Chalk, Human-in-the-loop optimization of visual prosthetic stimulation, Journal of Neural Engineering, 19(3), 2022
T Fauvel, M Chalk, Contextual bayesian optimization with binary outputs, arxiv:2111.03477, 2021
T Fauvel, M Chalk, Efficient exploration in binary and preferential, arxiv:2110.09361, 2021
Matthew Chalk, Gašper Tkačik, & Olivier Marre. Inferring the function performed by a recurrent neural network. Plos One 2021 https://doi.org/10.1371/journal.pone.0248940
Ferrari, U., Deny, S., Chalk, M., Tkačik, G., Marre, O., & Mora, T. (2018). Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons. Physical Review E, 98(4), 042410.
M Chalk, O Marre, G Tkacik, Towards a unified theory of efficient, predictive and sparse coding. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 115(1):186-191, 2018
M Chalk, P Masset, B Gutkin, S Deneve. Sensory noise predicts divisive reshaping of receptive fields. PLoS Computational Biology, 13(6):e1005582, 2017
M Chalk, O Marre, G Tkacik. Relevant sparse codes with variational information bottleneck. Advances in Neural Information Processing Systems (NIPS), 29:1957-65, 2016. Here is a link to the talk
S Deneve & M Chalk. Efficiency turns the table on neural encoding, decoding and noise. Current opinion in neurobiology 37:141-148, 2016
M Chalk, B Gutkin, S Deneve. Neural oscillations as a signature of efficient coding in the presence of synaptic delays. eLife, 5:e13824, 2016
M Chalk, I Murray, and P Seriès. Attention as reward-driven optimization of sensory processing. Neural Computation. 25(11):2904-33, 2013
N Gekas, M Chalk, A R Seitz and P Seriès. Complexity and specificity of experimentally-induced expectations in motion perception. Journal of Vision. 13(4), 2013
M Chalk, A R Seitz, and P Seriès. Rapidly learned stimulus expectations alter perception of motion. Journal of Vision. 10(8):2, 2010
M Chalk, J L Herrero, M A Gieselmann, L S Delicato, S Gotthardt, and A Thiele. Attention reduces stimulus-driven gamma frequency oscillations and spike field coherence in V1. Neuron, 66(1):114–125, 2010.
