Author

Jafar Doostmohammadi

Institute for Research in Fundamental SciencesORCID 0000-0002-9568-3785Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Reza LashgariiD· 2 shared Alana ChandleriD· 1 shared Alexander ThieleiD· 1 shared Ali GhazizadehiD· 1 shared Ali YoonessiiD· 1 shared Elijah A. TaeckensiD· 1 shared Hisham Y. ElseweifiiD· 1 shared Jochem van KempeniD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Reza LashgariORCID

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3 papers

Recent·Most cited

Climbing fibers encode the gradient of a loss function for the cerebellum

Jafar Doostmohammadi, Nazanin Mohammadrezaei, Hisham Y. Elseweifi, Alana Chandler, Elijah A. Taeckens, Reza Shadmehr

The paper shows climbing fibers in the cerebellum encode the gradient of a loss function, solving the credit assignment problem by scaling error with reward prediction errors.

bioRxiv · Jul 28, 2026 · PreprintNeuroscience

Sharp wave ripples in macaque V1 and V4 are modulated by top-down visual attention

Jafar Doostmohammadi, Marc Alwin Gieselmann, Jochem van Kempen, Reza Lashgari, Ali Yoonessi, Alexander Thiele

This study shows that sharp-wave ripples occur in macaque visual areas during attentive states and affect reaction times to stimulus changes.

bioRxiv · Mar 14, 2022 · PreprintNeuroscience

A fully automated spike sorting algorithm using t-distributed neighbor embedding and density based clustering

Mohammad Hossein Nadian, Saeed Karimimehr, Jafar Doostmohammadi, Ali Ghazizadeh, Reza Lashgari

This paper introduces a fully automated spike sorting algorithm combining t-SNE and DBSCAN, optimized with GA, which outperforms existing methods and human experts in accuracy and efficiency for large-scale neural recordings.

bioRxiv · Sep 26, 2018 · PreprintNeuroscience