Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks

Alexandra M. Proca; Fernando E. Rosas; Andrea I. Luppi; Daniel Bor; Matthew Crosby; Pedro A. M. Mediano

doi:10.1371/journal.pcbi.1012178

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Open Access

Peer-reviewed

Research Article

Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks

Alexandra M. Proca ,

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

* E-mail: a.proca22@imperial.ac.uk

Affiliation Department of Computing, Imperial College London, London, United Kingdom

https://orcid.org/0000-0003-1516-0114

⨯
Fernando E. Rosas,

Roles Writing – review & editing

Affiliations Department of Informatics, University of Sussex, Brighton, United Kingdom, Sussex Centre for Consciousness Science and Sussex AI, University of Sussex, Brighton, United Kingdom, Centre for Psychedelic Research and Centre for Complexity Science, Department of Brain Sciences, Imperial College London, London, United Kingdom, Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, United Kingdom
⨯
Andrea I. Luppi,

Roles Writing – review & editing

Affiliations Department of Clinical Neurosciences and Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom, Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom, Montreal Neurological Institute, McGill University, Montreal, Canada
⨯
Daniel Bor,

Roles Writing – review & editing

Affiliations Department of Psychology, University of Cambridge, Cambridge, United Kingdom, Department of Psychology, Queen Mary University of London, London, United Kingdom
⨯
Matthew Crosby ,

Roles Conceptualization, Supervision, Writing – review & editing

¶‡ These authors are joint senior authors on this work.

Affiliation Department of Computing, Imperial College London, London, United Kingdom
⨯
Pedro A. M. Mediano

Roles Conceptualization, Supervision, Writing – review & editing

¶‡ These authors are joint senior authors on this work.

Affiliations Department of Computing, Imperial College London, London, United Kingdom, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
⨯

Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks

Alexandra M. Proca,
Fernando E. Rosas,
Andrea I. Luppi,
Daniel Bor,
Matthew Crosby,
Pedro A. M. Mediano

Published: June 3, 2024
https://doi.org/10.1371/journal.pcbi.1012178

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