Author

Cameron Casey

University of Wisconsin–MadisonORCID 0000-0001-6790-2170Unclaimed ORCID profile · follow to get notified of new preprints

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Cameron Casey1 paper

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Neuroscience· 2

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Assay:electronic health records· 2 Approach:Bayesian inference· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Robert David SandersiD· 2 shared Brandon MunniD· 1 shared Daniel PolyakoviD· 1 shared Eli J. MülleriD· 1 shared James M. ShineiD· 1 shared Jessica M. PhillipsiD· 1 shared Joseph L. AusterweiliD· 1 shared Michelle Jordan RedinbaughiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersNeuroscience

Robert David SandersORCID

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2 papers

Recent·Most cited

Translating electrophysiological signatures of awareness into thalamocortical mechanisms by inverting systems-level computational models across arousal states

Vicente Medel, Eli J. Müller, Brandon Munn, Cameron Casey, Robert David Sanders, James M. Shine

The paper uses inverted neural mass models to link electrophysiological signatures of awareness to thalamocortical mechanisms across arousal states.

bioRxiv · Oct 11, 2023 · PreprintNeuroscience

Predictive feedback, early sensory representations and fast responses to predicted stimuli depend on NMDA receptors

Sounak Mohanta, Mohsen Afrasiabi, Cameron Casey, Sean Tanabe, Michelle Jordan Redinbaugh, Niranjan A. Kambi, Jessica M. Phillips, Daniel Polyakov, William Filbey, Joseph L. Austerweil, Robert David Sanders, Yuri B. Saalmann

The paper shows that predictive feedback and fast responses to stimuli depend on NMDA receptors, using EEG, Bayesian modeling, and machine learning in an audio-visual task.

Journal of Neuroscience · Nov 3, 2021Peer-reviewedNeuroscience