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Neural timescales from a computational perspective

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Year: 2026
Type: review
Source: Nature Neuroscience
DOI: 10.1038/s41593-026-02343-8
Authors: Roxana Zeraati, Anna Levina, Jakob H. Macke, Richard Gao
Institutions: Max Planck Institute for Biological Cybernetics, Bernstein Center for Computational Neuroscience Tübingen, Tübingen AI Center, University of Tübingen, Max Planck Institute for Intelligent Systems, Goethe University Frankfurt
Language: English

Topic: Neural dynamics and brain function
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences

Open Access status: green

Funders: Alexander von Humboldt-Stiftung, Joachim Herz Stiftung, International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, European Commission, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, International Max Planck Research School for Advanced Methods in Process and Systems Engineering
Awards: G1562512020, G233922387, G434337789, SFB 1233: Robustheit des Sehens Prinzipien der Inferenz und neuronale Mechanismen, Automated Model Inference from Neural Dynamics for a Mechanistic Understanding of Cognition, G6755401401, EXC 2064: Maschinelles Lernen: Neue Perspektiven für die Wissenschaft, G802091010, G817300853
OpenAlex ID: W4403160382
FWCI: 11.12
Cites: 168
Cited by: 15
Related to: 10
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