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 | 314 | 2010 |
Rapidly learned stimulus expectations alter perception of motion M Chalk, AR Seitz, P Seriès Journal of vision 10 (8), 2-2, 2010 | 177 | 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 | 167 | 2018 |
Relevant sparse codes with variational information bottleneck M Chalk, O Marre, G Tkacik Advances in Neural Information Processing Systems 29, 2016 | 89 | 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 | 62 | 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 | 61 | 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 | 23 | 2018 |
Sensory noise predicts divisive reshaping of receptive fields M Chalk, P Masset, S Deneve, B Gutkin PLoS Computational Biology 13 (6), e1005582, 2017 | 21 | 2017 |
Efficiency turns the table on neural encoding, decoding and noise S Deneve, M Chalk Current Opinion in Neurobiology 37, 141-148, 2016 | 19 | 2016 |
Human-in-the-loop optimization of visual prosthetic stimulation T Fauvel, M Chalk Journal of Neural Engineering 19 (3), 036038, 2022 | 11 | 2022 |
Inferring the function performed by a recurrent neural network M Chalk, G Tkacik, O Marre Plos one 16 (4), e0248940, 2021 | 11* | 2021 |
Efficient exploration in binary and preferential Bayesian optimization T Fauvel, M Chalk arXiv preprint arXiv:2110.09361, 2021 | 5 | 2021 |
Signatures of criticality in efficient coding networks S Safavi, M Chalk, N Logothetis, A Levina bioRxiv, 2023.02. 14.528465, 2023 | 4* | 2023 |
Attention as reward-driven optimization of sensory processing M Chalk, I Murray, P Seriès Neural computation 25 (11), 2904-2933, 2013 | 4 | 2013 |
Contextual Bayesian optimization with binary outputs T Fauvel, M Chalk arXiv preprint arXiv:2111.03447, 2021 | 3 | 2021 |
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 | 2 | 2024 |
Encoding surprise by retinal ganglion cells D Despotović, C Joffrois, O Marre, M Chalk PLOS Computational Biology 20 (4), e1011965, 2024 | 1 | 2024 |
Scalable gaussian process inference of neural responses to natural images MA Goldin, S Virgili, M Chalk PNAS 120 (34), e2301150120, 2023 | 1 | 2023 |
Signatures of criticality in efficient coding networks A Levina, N Logothetis, M Chalk, S Safavi bio Rxiv, 2023 | | 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 | | 2013 |