Article Information
History
- April 29, 2022.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Diego Fasoli1,*,
- Ludovico Coletta2,3,
- Daniel Gutierrez-Barragan3,
- Alessandro Gozzi3 and
- Stefano Panzeri1,4,*
- 1Laboratory of Neural Computation, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy
- 2Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto (TN), Italy
- 3Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @UniTn, 38068 Rovereto (TN), Italy
- 4Department of Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Falkenried 94, D-20251 Hamburg, Germany
- ↵*Correspondence: diego.fasoli{at}neuroinformatics.it and s.panzeri{at}uke.de
Posted April 29, 2022.
A model of the mouse cortex with attractor dynamics explains the structure and emergence of rsfMRI co-activation patterns
