Author

Rachael Keir Blackman

University of Minnesota

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

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Neuroscience· 2

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Approach:statistical model· 2 Approach:deep learning· 1 Organism:mouse· 1

Frequent Co-Authors

Matthew V. ChafeeiD· 2 shared Adele L. DeNicola· 1 shared Andrew Willow· 1 shared Bagrat R. AmirikianiD· 1 shared David A. Crowe· 1 shared Huzi ChengiD· 1 shared Joshua W. BrowniD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersNeuroscience

Matthew V. ChafeeORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintFeb 28, 2024

Monkey Prefrontal Cortex Learns to Minimize Sequence Prediction Error

Huzi Cheng, Matthew V. Chafee, Rachael Keir Blackman, Joshua W. Brown

This study introduces a novel RNN model called SPEL that mimics prefrontal cortex activity by minimizing sequence prediction error, showing it matches neural responses and behavior in monkeys.

DOI 10.1101/2024.02.28.582611

mousedeep learning

𝕏 PostBluesky

NeuroscienceeLifePeer-reviewedDec 21, 2023

A prefrontal network model operating near steady and oscillatory states links spike desynchronization and synaptic deficits in schizophrenia

David A. Crowe, Andrew Willow, Rachael Keir Blackman…·Bagrat R. Amirikian

This paper develops a prefrontal network model to show how NMDAR synaptic deficits in schizophrenia disrupt spike timing and prevent network state transitions.

5 citations

statistical model

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