Learning what matters: Synaptic plasticity with invariance to second-order input correlations

Carlos Stein Naves de Brito; Wulfram Gerstner

doi:10.1371/journal.pcbi.1011844

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Open Access

Peer-reviewed

Research Article

Learning what matters: Synaptic plasticity with invariance to second-order input correlations

Carlos Stein Naves de Brito ,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: carlos.stein@research.fchampalimaud.org

Affiliations École Polytechnique Fédérale de Lausanne, EPFL, Lusanne, Switzerland, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal

https://orcid.org/0000-0002-6694-8457

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Wulfram Gerstner

Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

Affiliation École Polytechnique Fédérale de Lausanne, EPFL, Lusanne, Switzerland
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Learning what matters: Synaptic plasticity with invariance to second-order input correlations

Carlos Stein Naves de Brito,
Wulfram Gerstner

Published: February 12, 2024
https://doi.org/10.1371/journal.pcbi.1011844

About the Authors

Carlos Stein Naves de Brito

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

* E-mail: carlos.stein@research.fchampalimaud.org

Affiliations École Polytechnique Fédérale de Lausanne, EPFL, Lusanne, Switzerland, Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal

https://orcid.org/0000-0002-6694-8457

Wulfram Gerstner

Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

Affiliation École Polytechnique Fédérale de Lausanne, EPFL, Lusanne, Switzerland

Competing Interests

The authors have declared that no competing interests exist.

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Neuronal tuning
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Neurons
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Neuronal plasticity
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Synaptic plasticity
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Learning curves
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Synapses
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