Author

James Kozloski

IBM (United States)ORCID 0000-0003-3420-4688Unclaimed ORCID profile · follow to get notified of new preprints

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James Kozloski1 paper

Biology Disciplines

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Neuroscience· 2

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Casey O. DiekmaniD· 1 shared Francesco TamagniniiD· 1 shared Kyle C. A. WedgwoodiD· 1 shared Sébastien NazeiD· 1 shared Soheil SaghafiiD· 1 shared Timothy H. RumbelliD· 1 shared Viatcheslav GureviD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

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7 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Casey O. DiekmanORCID

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2 papers

Recent·Most cited

NeuroscienceBulletin of Mathematical BiologyPeer-reviewedMar 25, 2024

Inferring parameters of pyramidal neuronexcitability in mouse models of Alzheimer'sdisease using biophysical modeling and deeplearning

Soheil Saghafi, Timothy H. Rumbell, Viatcheslav Gurev…·Casey O. Diekman

This paper introduces DeepHM, a method combining deep learning and biophysical modeling to infer ion channel conductance changes in Alzheimer's mouse models.

3 citations

mouseelectronic health records

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NeurosciencebioRxivPreprintJul 20, 2020

Functional requirements of intentional control over the integrated cortico-thalamo-cortical and basal ganglia systems using neural computations

Sébastien Naze, James Kozloski

The paper evaluates a large-scale brain model's functional requirements for coordinated learning between cortical and sub-cortical systems and discusses its relevance to Huntington's disease.

DOI 10.1101/2020.07.20.211425

statistical modelbenchmarking

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