Chalk, M. J., Tkadik, G., &; Marre, O. (2021). Inferring the function performed by a recurrent neural network. PLoS ONE. Public Library of Science.https://doi.org/10.1371/journal.pone.0248940 

Chalk, M. J., Marre, O., &; Tkadik, G. (2018). Toward a unified theory of efficient, predictive, and sparse coding. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1711114115 

Chalk, M. J., Masset, P., Gutkin, B., &; Denève, S. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005582 

Chalk, M. J., Masset, P., Gutkin, B., &; Denève, S. (2017). Supplementary appendix. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005582.s001 

Chalk, M. J., Marre, O., &; Tkadik, G. (2016). Relevant sparse codes with variational information bottleneck (Vol. 29, pp. 1965–1973). Presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain: Neural Information Processing Systems.

Chalk, M. J., Gutkin, B., &; Denève, S. (2016). Neural oscillations as a signature of efficient coding in the presence of synaptic delays. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.13824