Author

Santiago Acosta–Mendoza

University of California, Santa BarbaraORCID 0009-0003-6698-476XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

William T. RedmaniD· 2 shared Michael J. GoardiD· 1 shared Nina MiolaneiD· 1 shared Xue-Xin WeiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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4 top collaborators · 4 mutual co-author links

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2 shared papersNeuroscience

William T. RedmanORCID

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2 papers

Recent·Most cited

NeuroscienceeLifePeer-reviewedFeb 6, 2025

Robust variability of grid cell properties within individual grid modules enhances encoding of local space

William T. Redman, Santiago Acosta–Mendoza, Xue-Xin Wei, Michael J. Goard

The paper analyzes grid cell properties in the medial entorhinal cortex and finds small but robust variability within modules, which improves spatial encoding.

2 citations

mouseelectronic health records

𝕏 PostBluesky

Neuroscienceneural information processing systemsPeer-reviewedJan 1, 2024

Not so griddy: Internal representations of RNNs path integrating more than one agent

William T. Redman, Santiago Acosta–Mendoza, Nina Miolane

This study trains an RNN to path integrate trajectories of multiple agents, finding changes in neural representations compared to single-agent models.

1 citation

machine learning (classical)

𝕏 PostBluesky