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Cortical resonance selects coherent input

  • Synchronization has been implicated in neuronal communication, but causal evidence remains indirect. We use optogenetics to generate depolarizing currents in pyramidal neurons of the cat visual cortex, emulating excitatory synaptic inputs under precise temporal control, while measuring spike output. The cortex transforms constant excitation into strong gamma-band synchronization, revealing the well-known cortical resonance. Increasing excitation with ramps increases the strength and frequency of synchronization. Slow, symmetric excitation profiles reveal hysteresis of power and frequency. White-noise input sequences enable causal analysis of network transmission, establishing that the cortical gamma-band resonance preferentially transmits coherent input components. Models composed of recurrently coupled excitatory and inhibitory units uncover a crucial role of feedback inhibition and suggest that hysteresis can arise through spike-frequency adaptation. The presented approach provides a powerful means to investigate the resonance properties of local circuits and probe how these properties transform input and shape transmission.

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Metadaten
Author:Christopher Murphy LewisORCiD, Ni JianguangORCiDGND, Thomas WunderleORCiDGND, Patrick JendritzaORCiD, Andreea LazarORCiDGND, Ilka DiesterORCiDGND, Pascal FriesORCiDGND
URN:urn:nbn:de:hebis:30:3-733299
DOI:https://doi.org/10.1016/j.celrep.2021.109083
ISSN:2211-1247
Parent Title (English):Cell Reports
Publisher:Cell Press
Place of publication:Maryland Heights, MO
Document Type:Article
Language:English
Date of Publication (online):2021/05/04
Date of first Publication:2021/05/04
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/04/23
Volume:35
Issue:109083
Page Number:30
HeBIS-PPN:508625394
Institutes:Angeschlossene und kooperierende Institutionen / MPI für Hirnforschung
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0