Author

Tsvetomira Dumbalska

University of OxfordORCID 0000-0002-5761-8536Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:mouse· 1

Frequent Co-Authors

Andrew SaxeiD· 2 shared Christopher SummerfieldiD· 2 shared Keno JuechemsiD· 1 shared Lukas BrauniD· 1 shared Stephanie NelliiD· 1 shared Timo FleschiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersNeuroscience

Andrew SaxeORCID

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2 papers

Recent·Most cited

NeuroscienceNeuronPeer-reviewedJan 31, 2022

Rich and lazy learning of task representations in brains and neural networks

Timo Flesch, Keno Juechems, Tsvetomira Dumbalska…·Christopher Summerfield

The paper compares 'lazy' and 'rich' coding strategies in neural networks and biological brains for multitasking, finding evidence for rich coding in human and macaque neural data.

251 citationstop 1%

humanmouse

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NeurosciencebioRxivPreprintOct 21, 2021

Neural knowledge assembly in humans and deep networks

Stephanie Nelli, Lukas Braun, Tsvetomira Dumbalska…·Christopher Summerfield

The paper shows that human brains and neural networks can rapidly reorganize knowledge when new information is introduced, using BOLD signals and a gradient descent model.

7 citations

humanstatistical model

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