Author

Josh Saha

University Health Network

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Approach:experimental assay· 1 Organism:mouse· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Milad LankaranyiD· 2 shared Nooshin BahadoriD· 2 shared Ayda GhahremaniiD· 1 shared Frances K. SkinneriD· 1 shared Liang ZhangiD· 1 shared Mohammad R. RezaeiiD· 1 shared Robert E. CheniD· 1 shared Spandan SenguptaiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

Milad LankaranyORCID

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2 papers

Recent·Most cited

A Software for Identification and Characterization of Theta Rhythms in the Hippocampus

Nooshin Bahador, Spandan Sengupta, Josh Saha, Milad Lankarany, Liang Zhang, Frances K. Skinner

The paper develops MATLAB-based software to automatically identify and analyze theta rhythms in hippocampal EEG/LFP data, showing it can robustly detect feature changes during seizures and post-seizure periods.

bioRxiv · Mar 25, 2025 · PreprintNeuroscience

Robust Removal of Slow Artifactual Dynamics Induced by Deep Brain Stimulation in Local Field Potential Recordings using SVD-based Adaptive Filtering

Nooshin Bahador, Josh Saha, Mohammad R. Rezaei, Utpal Saha, Ayda Ghahremani, Robert E. Chen, Milad Lankarany

This paper introduces an SVD-based adaptive filtering method to remove both fast and slow artifacts from local field potentials during DBS, outperforming existing techniques on synthetic and real data.

Bioengineering · Jun 14, 2023Peer-reviewedNeuroscience