Author

Terry Sejnowski

Salk Institute for Biological Studies

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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Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Arjun KaruvallyiD· 1 shared Elizabeth Barbara TorresiD· 1 shared Fred H. GageiD· 1 shared Margot WagneriD· 1 shared Mia Cameron· 1 shared Simon T. SchaferiD· 1 shared Theodoros BermperidisiD· 1 shared Yusi CheniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

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1 shared paperNeuroscience

Arjun KaruvallyORCID

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2 papers

Recent·Most cited

Balancing Stability and Flow in Hippocampal Networks via Inductive Bias and Learned Symmetry Breaking

Margot Wagner, Yusi Chen, Arjun Karuvally, Mia Cameron, Terry Sejnowski

This paper shows how recurrent neural networks balance stability and flow in hippocampal networks through symmetry breaking and structured connectivity.

Philosophical Transactions of the Royal Society B Biological Sciences · Jul 9, 2026Peer-reviewedNeuroscience

Dynamic Interrogation of Stochastic Transcriptome Trajectories Using Disease Associated Genes Reveals Distinct Origins of Neurological and Neuropsychiatric Disorders

Theodoros Bermperidis, Simon T. Schafer, Fred H. Gage, Terry Sejnowski, Elizabeth Barbara Torres

The paper analyzes transcriptome dynamics during neuronal differentiation to identify two distinct gene classes associated with psychiatric and neurological disorders.

bioRxiv · Feb 26, 2022 · PreprintGenomics