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Toward a unified theory of efficient, predictive, and sparse coding
Work
Year: 2017
Type: article
Abstract: A central goal in theoretical neuroscience is to predict the response properties of sensory neurons from first principles. To this end, "efficient coding" posits that sensory neurons encode maximal in... more
Source: Proceedings of the National Academy of Sciences
Authors Matthew Chalk, Olivier Marre, Gašper Tkačik
Institutions Institute of Science and Technology Austria, Inserm, Sorbonne Université, Institut de la Vision, Centre National de la Recherche Scientifique
Cites: 55
Cited by: 156
Related to: 10
FWCI: 6.195
Citation percentile (by year/subfield): 86.64
Topic: Neural dynamics and brain function
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Sustainable Development Goal Partnerships for the goals
Open Access status: bronze
Funders Agence Nationale de la Recherche, Austrian Science Fund
Grant IDS ANR-10-LABX-65, P25651