Author

Joel Veness

Google DeepMind (United Kingdom)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Marcus HütteriD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Agnieszka Grabska‐Barwińska

Mutual co-authors in cluster

Author profile →

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