Author

Mia Cameron

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.

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Neuroscience· 2

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Yusi CheniD· 2 shared Arjun KaruvallyiD· 1 shared Huanqiu ZhangiD· 1 shared Margot WagneriD· 1 shared Terrence J. Sejnowski A BiD· 1 shared Terry Sejnowski· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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6 top collaborators · 9 mutual co-author links

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2 shared papersNeuroscience

Yusi ChenORCID

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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

Predictive Sequence Learning in the Hippocampal Formation

Yusi Chen, Huanqiu Zhang, Mia Cameron, Terrence J. Sejnowski A B

The paper develops a predictive autoencoder model of the hippocampus to simulate sequence learning, showing CA3's predictive role and CA1's error signaling in mice.

Neuron · Jun 24, 2024Peer-reviewedNeuroscience