Richard Gao

Sep 4, 2024 | arxiv.org | Anna Levina |Jakob H. Macke |Richard Gao

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Aug 22, 2024 | biorxiv.org | Richard Gao |Michael Deistler |Auguste Schulz

AbstractNeural population dynamics are shaped by many cellular, synaptic, and network properties. Not only is it important to understand how coordinated changes in circuit parameters alter neural activity, but also when dynamics are unaffected by—or invariant to—such changes. Computational modeling has revealed invariances in single neurons and small circuits that are thought to reflect their robustness against variability and perturbations.

Jun 27, 2024 | arxiv.org | Auguste Schulz |Julius Vetter |Richard Gao |Felix Pei

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Apr 25, 2024 | biorxiv.org | Auguste Schulz |Julius Vetter |Richard Gao |Daniel Morales

AbstractExtracting the relationship between high-dimensional recordings of neural activity and complex behavior is a ubiquitous problem in systems neuroscience. Toward this goal, encoding and decoding models attempt to infer the conditional distribution of neural activity given behavior and vice versa, while dimensionality reduction techniques aim to extract interpretable low-dimensional representations.

Feb 14, 2024 | onlinelibrary.wiley.com | Li Tang |Chengrong Wang |Liping Yan |Richard Gao

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