Author

Soheil Saghafi

New Jersey Institute of TechnologyORCID 0000-0002-3676-5027Unclaimed 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:deep learning· 2 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:mouse· 1

Frequent Co-Authors

Casey O. DiekmaniD· 1 shared Francesco TamagniniiD· 1 shared James KozloskiiD· 1 shared Kyle C. A. WedgwoodiD· 1 shared Pejman SanaeiiD· 1 shared Timothy H. RumbelliD· 1 shared Viatcheslav GureviD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

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

NeuroscienceChaos An Interdisciplinary Journal of Nonlinear SciencePeer-reviewedOct 1, 2024

Dynamic Entrainment: A deep learning and data-driven process approach for synchronization in the Hodgkin-Huxley model

Soheil Saghafi, Pejman Sanaei

The paper introduces a dynamic entrainment technique using deep learning to maintain synchronization in the Hodgkin-Huxley model.

4 citations

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