Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activity.

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Bibliographic Details
Title: Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activity.
Authors: Versteeg C; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA., McCart JD; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA.; Center for Machine Learning, Georgia Institute of Technology, Atlanta, GA, USA., Ostrow M; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA., Zoltowski DM; Wu Tsai Neurosciences Institute, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA., Washington CB; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA., Driscoll L; Allen Institute for Neural Dynamics, Seattle, WA, USA.; Department of Neurobiology & Biophysics, University of Washington, Seattle, WA, USA., Codol O; Département de Neurosciences, Faculté de Médecine, Université de Montréal, Montréal, Canada.; MILA, Quebec Artificial Intelligence Institute, Montréal, Canada., Michaels JA; School of Kinesiology and Health Science, Faculty of Health, York University, Toronto, ON, Canada., Linderman SW; Wu Tsai Neurosciences Institute, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA., Sussillo D; Wu Tsai Neurosciences Institute, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Pandarinath C; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA.; Department of Neurosurgery, Emory University, Atlanta, GA, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Feb 20. Date of Electronic Publication: 2025 Feb 20.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.02.07.637062