Author

Kevin Kermani Nejad

University of BristolORCID 0009-0006-4441-5517Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:mouse· 1

Frequent Co-Authors

Rui Ponte CostaiD· 2 shared Alexia DurieziD· 1 shared Heng Wei ZhuiD· 1 shared Joseph PembertoniD· 1 shared Loreen HertägiD· 1 shared P. J. McCarthy· 1 shared Paul G. AnastasiadesiD· 1 shared Will Greedy· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Rui Ponte CostaORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 11, 2026

Cell-type-specific cortical feedback coordinates hierarchical credit assignment

Will Greedy, Heng Wei Zhu, Alexia Duriez…·Rui Ponte Costa

This paper introduces a theory of hierarchical credit assignment in the cortex, linking cell-type-specific dendritic excitation-inhibition balance to learning and behavior.

DOI 10.64898/2026.06.16.732595

statistical model

𝕏 PostBluesky

NeuroscienceNature CommunicationsPeer-reviewedJul 4, 2025

Self-supervised predictive learning accounts for cortical layer-specificity

Kevin Kermani Nejad, Paul G. Anastasiades, Loreen Hertäg, Rui Ponte Costa

This paper introduces a computational model of the neocortex that uses self-supervised learning to predict sensory inputs, showing layer-specific predictions and matching experimental observations.

14 citationstop 2%

mousestatistical model

𝕏 PostBluesky