World Wide relies on analytics signals to operate securely and keep research services available. Accept to continue, or leave the site.
Review the Privacy Policy for details about analytics processing.
Graduate Student
Ernst Strüngmann Institute for Neuroscience
Showing your local timezone
Schedule
Wednesday, December 1, 2021
3:15 AM America/New_York
Seminar location
No geocoded details are available for this content yet.
Recording provided by the organiser.
Format
Recorded Seminar
Recording
Available
Host
Neuromatch 4
Duration
15.00 minutes
Seminar location
No geocoded details are available for this content yet.
Inter-areal coherence between cortical field-potentials is a widespread phenomenon and depends on numerous behavioral and cognitive factors. It has been hypothesized that inter-areal coherence reflects phase-synchronization between local oscillations and flexibly gates communication. We reveal an alternative mechanism, where coherence results from and is not the cause of communication, and naturally emerges as a consequence of the fact that spiking activity in a sending area causes post-synaptic inputs both in the same area and in other areas. Consequently, coherence depends in a lawful manner on oscillatory power and phase-locking in a sending area and inter-areal connectivity. We show that changes in oscillatory power explain prominent changes in fronto-parietal beta-coherence with movement and memory, and LGN-V1 gamma-coherence with arousal and visual stimulation. Optogenetic silencing of a receiving area and E/I network simulations demonstrate that afferent synaptic inputs rather than spiking entrainment are the main determinant of inter-areal coherence. These findings suggest that the unique spectral profiles of different brain areas automatically give rise to large-scale inter-areal coherence patterns that follow anatomical connectivity and continuously reconfigure as a function of behavior and cognition.
Marius Schneider
Graduate Student
Ernst Strüngmann Institute for Neuroscience
neuro
Decades of research on understanding the mechanisms of attentional selection have focused on identifying the units (representations) on which attention operates in order to guide prioritized sensory p
neuro
neuro