Author

Tamal Batabyal

Massachusetts Institute of TechnologyORCID 0000-0001-6809-4144Unclaimed 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· 1 Assay:electronic health records· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Anastasia BrodovskayaiD· 1 shared Earl K. MilleriD· 1 shared Jacob DonoghueiD· 1 shared Jaideep KapuriD· 1 shared John Williamson· 1 shared Meredith K. MahnkeiD· 1 shared Mikael LundqvistiD· 1 shared Scott L. BrincatiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperNeuroscience

Anastasia BrodovskayaORCID

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2 papers

Recent·Most cited

NeuroscienceJournal of Cognitive NeurosciencePeer-reviewedOct 30, 2025

State-space trajectories and traveling waves following distraction

Tamal Batabyal, Scott L. Brincat, Jacob Donoghue…·Earl K. Miller

The paper shows that after distractions, neural activity in the prefrontal cortex returns to pre-disruption patterns through state-space rotations and traveling waves.

3 citations

mouseelectronic health records

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NeurosciencebioRxivPreprintApr 11, 2022

A deep learning-based automated closed-loop optogenetic system for neuromodulation during seizures

Tamal Batabyal, Anastasia Brodovskaya, John Williamson, Jaideep Kapur

This paper presents a deep learning-based closed-loop optogenetic system for seizure detection and neuromodulation, showing improved detection and reduced false positives in vivo.

DOI 10.1101/2022.04.11.487951

deep learning

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