6 Publications

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[6]
2021 | Published | Journal Article | IST-REx-ID: 9362 | OA
M. J. Chalk, G. Tkačik, and O. Marre, “Inferring the function performed by a recurrent neural network,” PLoS ONE, vol. 16, no. 4. Public Library of Science, 2021.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[5]
2018 | Published | Journal Article | IST-REx-ID: 543 | OA
M. J. Chalk, O. Marre, and G. Tkačik, “Toward a unified theory of efficient, predictive, and sparse coding,” Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 1. National Academy of Sciences, pp. 186–191, 2018.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[4]
2017 | Published | Journal Article | IST-REx-ID: 680 | OA
M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Sensory noise predicts divisive reshaping of receptive fields,” PLoS Computational Biology, vol. 13, no. 6. Public Library of Science, 2017.
[Published Version] View | Files available | DOI
 
[3]
2017 | Research Data Reference | IST-REx-ID: 9855
M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Supplementary appendix.” Public Library of Science, 2017.
[Published Version] View | Files available | DOI
 
[2]
2016 | Published | Journal Article | IST-REx-ID: 1266 | OA
M. J. Chalk, B. Gutkin, and S. Denève, “Neural oscillations as a signature of efficient coding in the presence of synaptic delays,” eLife, vol. 5, no. 2016JULY. eLife Sciences Publications, 2016.
[Published Version] View | Files available | DOI
 
[1]
2016 | Published | Conference Paper | IST-REx-ID: 1082 | OA
M. J. Chalk, O. Marre, and G. Tkačik, “Relevant sparse codes with variational information bottleneck,” presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain, 2016, vol. 29, pp. 1965–1973.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

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6 Publications

Mark all

[6]
2021 | Published | Journal Article | IST-REx-ID: 9362 | OA
M. J. Chalk, G. Tkačik, and O. Marre, “Inferring the function performed by a recurrent neural network,” PLoS ONE, vol. 16, no. 4. Public Library of Science, 2021.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[5]
2018 | Published | Journal Article | IST-REx-ID: 543 | OA
M. J. Chalk, O. Marre, and G. Tkačik, “Toward a unified theory of efficient, predictive, and sparse coding,” Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 1. National Academy of Sciences, pp. 186–191, 2018.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[4]
2017 | Published | Journal Article | IST-REx-ID: 680 | OA
M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Sensory noise predicts divisive reshaping of receptive fields,” PLoS Computational Biology, vol. 13, no. 6. Public Library of Science, 2017.
[Published Version] View | Files available | DOI
 
[3]
2017 | Research Data Reference | IST-REx-ID: 9855
M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Supplementary appendix.” Public Library of Science, 2017.
[Published Version] View | Files available | DOI
 
[2]
2016 | Published | Journal Article | IST-REx-ID: 1266 | OA
M. J. Chalk, B. Gutkin, and S. Denève, “Neural oscillations as a signature of efficient coding in the presence of synaptic delays,” eLife, vol. 5, no. 2016JULY. eLife Sciences Publications, 2016.
[Published Version] View | Files available | DOI
 
[1]
2016 | Published | Conference Paper | IST-REx-ID: 1082 | OA
M. J. Chalk, O. Marre, and G. Tkačik, “Relevant sparse codes with variational information bottleneck,” presented at the NIPS: Neural Information Processing Systems, Barcelona, Spain, 2016, vol. 29, pp. 1965–1973.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

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Citation Style: IEEE

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