Neural spiking for causal inference and learning

Benjamin James Lansdell; Konrad Paul Kording

doi:10.1371/journal.pcbi.1011005

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Open Access

Peer-reviewed

Research Article

Neural spiking for causal inference and learning

Benjamin James Lansdell ,

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

* E-mail: ben.lansdell@stjude.org

address: Department of Developmental Neurobiology, St Jude Children’s Research Hospital, Memphis, Tennessee, United States of America

Affiliation Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

https://orcid.org/0000-0003-1444-1950

⨯
Konrad Paul Kording

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

Affiliations Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
⨯

Neural spiking for causal inference and learning

Benjamin James Lansdell,
Konrad Paul Kording

Published: April 4, 2023
https://doi.org/10.1371/journal.pcbi.1011005

About the Authors

Benjamin James Lansdell

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

* E-mail: ben.lansdell@stjude.org

address: Department of Developmental Neurobiology, St Jude Children’s Research Hospital, Memphis, Tennessee, United States of America

Affiliation Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

https://orcid.org/0000-0003-1444-1950

Konrad Paul Kording

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

Affiliations Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

Competing Interests

The authors state no competing interests.

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Neurons
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Action potentials
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Neural networks
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Network analysis
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Neuronal plasticity
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Learning
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Artificial neural networks
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Sensory perception
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