Multiple bumps can enhance robustness to noise in continuous attractor networks

Raymond Wang; Louis Kang

doi:10.1371/journal.pcbi.1010547

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Open Access

Peer-reviewed

Research Article

Multiple bumps can enhance robustness to noise in continuous attractor networks

Raymond Wang,

Roles Investigation, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliations Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, California, United States of America, Neural Circuits and Computations Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan
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Louis Kang

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Software, Supervision, Visualization, Writing – original draft, Writing – review & editing

* E-mail: louis.kang@riken.jp

Affiliation Neural Circuits and Computations Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan

https://orcid.org/0000-0002-5702-2740

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Multiple bumps can enhance robustness to noise in continuous attractor networks

Raymond Wang,
Louis Kang

Published: October 10, 2022
https://doi.org/10.1371/journal.pcbi.1010547

About the Authors

Raymond Wang

Roles Investigation, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliations Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, California, United States of America, Neural Circuits and Computations Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan

Louis Kang

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Software, Supervision, Visualization, Writing – original draft, Writing – review & editing

* E-mail: louis.kang@riken.jp

Affiliation Neural Circuits and Computations Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan

https://orcid.org/0000-0002-5702-2740

Competing Interests

The authors have declared that no competing interests exist.

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Mass diffusivity
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