Author

Srikar Saradhi

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

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Milad LankaranyiD· 2 shared Yupeng TianiD· 2 shared Edward M. BelloiD· 1 shared Gabriele M. T. D’EleuterioiD· 1 shared Mahan RezaeiiD· 1 shared Matthew D. JohnsoniD· 1 shared Miloš R. PopovićiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersNeuroscience

Milad LankaranyORCID

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2 papers

Recent·Most cited

Using a Deep Learning Approach for Model-based Control of Deep Brain Stimulation

Srikar Saradhi, Yupeng Tian, Mahan Rezaei, Milad Lankarany

This paper develops a 1-D CNN for decoding DBS-induced neural activity to predict EMG signals, achieving high accuracy compared to polynomial and LSTM methods.

bioRxiv · Oct 29, 2024 · PreprintNeuroscience

Model-Based Closed-Loop Control of Thalamic Deep Brain Stimulation

Yupeng Tian, Srikar Saradhi, Edward M. Bello, Matthew D. Johnson, Gabriele M. T. D’Eleuterio, Miloš R. Popović, Milad Lankarany

This paper proposes a model-based closed-loop DBS controller for essential tremor using EMG signals, showing it finds DBS frequencies that align with clinical studies.

Frontiers in Network Physiology · Apr 8, 2024Peer-reviewedNeuroscience