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A model of the mouse cortex with attractor dynamics explains the structure and emergence of rsfMRI co-activation patterns
View ORCID ProfileDiego Fasoli, View ORCID ProfileLudovico Coletta, View ORCID ProfileDaniel Gutierrez-Barragan, View ORCID ProfileAlessandro Gozzi, View ORCID ProfileStefano Panzeri
doi: https://doi.org/10.1101/2022.04.28.489908
Diego Fasoli
1Laboratory of Neural Computation, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy
Ludovico Coletta
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
Daniel Gutierrez-Barragan
3Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @UniTn, 38068 Rovereto (TN), Italy
Alessandro Gozzi
3Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @UniTn, 38068 Rovereto (TN), Italy
Stefano Panzeri
1Laboratory of Neural Computation, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy
4Department of Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Falkenried 94, D-20251 Hamburg, Germany
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Posted April 29, 2022.
A model of the mouse cortex with attractor dynamics explains the structure and emergence of rsfMRI co-activation patterns
Diego Fasoli, Ludovico Coletta, Daniel Gutierrez-Barragan, Alessandro Gozzi, Stefano Panzeri
bioRxiv 2022.04.28.489908; doi: https://doi.org/10.1101/2022.04.28.489908
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