Author

Margot Wagner

Salk Institute for Biological StudiesORCID 0009-0008-7751-3230Unclaimed ORCID profile · follow to get notified of new preprints

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Margot Wagner1 paper · Centre National de la Recherche Scientifique

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Neuroscience· 2

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Approach:machine learning (classical)· 1 Approach:statistical model· 1

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Arjun KaruvallyiD· 1 shared Gert CauwenberghsiD· 1 shared Mia Cameron· 1 shared Terrence J. Sejnowski A BiD· 1 shared Terry Sejnowski· 1 shared Thomas M. BartoliD· 1 shared Yusi CheniD· 1 shared

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2021-2026 · peak 1/yr

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1 shared paperNeuroscience

Arjun KaruvallyORCID

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2 papers

Recent·Most cited

NeurosciencePhilosophical Transactions of the Royal Society B Biological SciencesPeer-reviewedJul 9, 2026

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

Margot Wagner, Yusi Chen, Arjun Karuvally…·Terry Sejnowski

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

DOI 10.1098/rstb.2025.0260

statistical modelmachine learning (classical)

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NeuroscienceFrontiers in NeurosciencePeer-reviewedNov 29, 2021

Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing

Margot Wagner, Thomas M. Bartol, Terrence J. Sejnowski A B, Gert Cauwenberghs

The paper abstracts a detailed 3D reaction-diffusion model of a chemical synapse into a compact state space for neuromorphic hardware emulation with preserved input-output dynamics.

1 citation

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