Author

Marcus Hütter

Google DeepMind (United Kingdom)ORCID 0000-0002-3263-4097Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Agnieszka Grabska‐Barwińska· 1 shared Claudia Clopath AiD· 1 shared David Mark BuddeniD· 1 shared Dimitar KostadinoviD· 1 shared Eren Sezener· 1 shared Joel Veness· 1 shared Matthew BotvinickiD· 1 shared Maxime BeauiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Agnieszka Grabska‐Barwińska

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1 paper

Recent·Most cited

A rapid and efficient learning rule for biological neural circuits

Eren Sezener, Agnieszka Grabska‐Barwińska, Dimitar Kostadinov, Maxime Beau, Sanjukta Krishnagopal, David Mark Budden, Marcus Hütter, Joel Veness, Matthew Botvinick, Claudia Clopath A, Michael Häusser, Peter E. Latham

This paper introduces DGNs, a biologically plausible learning rule that outperforms backpropagation in efficiency and forgetting resistance, inspired by cerebellar structure and function.

bioRxiv · Mar 10, 2021 · PreprintNeuroscience