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The population dynamics of a canonical cognitive circuit

Rishidev Chaudhuri, Berk Gerçek, Biraj Pandey, Adrien Peyrache, Ila Fiete
doi: https://doi.org/10.1101/516021
Rishidev Chaudhuri
1Center for Learning and Memory and Department of Neuroscience, The University of Texas, Austin, Texas, USA
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Berk Gerçek
1Center for Learning and Memory and Department of Neuroscience, The University of Texas, Austin, Texas, USA
2Department of Basic Neuroscience, University of Geneva, Geneva, Switzerland
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Biraj Pandey
1Center for Learning and Memory and Department of Neuroscience, The University of Texas, Austin, Texas, USA
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Adrien Peyrache
3Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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Ila Fiete
1Center for Learning and Memory and Department of Neuroscience, The University of Texas, Austin, Texas, USA
4Department of Brain and Cognitive Sciences, MIT, Cambridge, Massachusetts, USA
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  • For correspondence: fiete@mit.edu
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Abstract

The brain constructs distributed representations of key low-dimensional variables. These variables may be external stimuli or internal constructs of quantities relevant for survival, such as a sense of one’s location in the world. We consider that the high-dimensional population-level activity vectors are the fundamental representational currency of a neural circuit, and these vectors trace out a low-dimensional manifold whose dimension and topology matches those of the represented variable. This manifold perspective — applied to the mammalian head direction circuit across rich waking behaviors and sleep — enables powerful inferences about circuit representation and mechanism, including: Direct visualization and blind discovery that the network represents a one-dimensional circular variable across waking and REM sleep; fully unsupervised decoding of the coded variable; stability and attractor dynamics in the representation; the discovery of new dynamical trajectories during sleep; the limiting role of external rather than internal noise in the fidelity of memory states; and the conclusion that the circuit is set up to integrate velocity inputs according to classical continuous attractor models.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 09, 2019.
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The population dynamics of a canonical cognitive circuit
Rishidev Chaudhuri, Berk Gerçek, Biraj Pandey, Adrien Peyrache, Ila Fiete
bioRxiv 516021; doi: https://doi.org/10.1101/516021
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The population dynamics of a canonical cognitive circuit
Rishidev Chaudhuri, Berk Gerçek, Biraj Pandey, Adrien Peyrache, Ila Fiete
bioRxiv 516021; doi: https://doi.org/10.1101/516021

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