2023 - T1B - WS2 - Networks of spiking neurons

Collection 2023 - T1B - WS2 - Networks of spiking neurons

Organizer(s) Galves, Antonio ; Löcherbach, Eva ; Pouzat, Christophe ; Vargas, Claudia D.
Date(s) 27/03/2023 - 31/03/2023
linked URL https://indico.math.cnrs.fr/event/7793/
5 20

Building stochastic dynamical neural circuits for cortical control

By Priscilla Greenwood

We know some basic facts about connectivity among areas of cortex and thalamus, and about direction of excitation and inhibition. We are beginning to speculate about the dynamics of such processes as the focus of attention, which is believed to depend on communication in the cortex. I will propose a construction of a dynamical neural circuit model, using as a basic building block the interaction of excitatory and inhibitory families of neurones. With noise, such E-I units can produce briefly sustained oscillations of certain frequencies. An interesting speculation is that particular phase relations among such frequencies, together with a hypothetical switching mechanism in the thalamus, may control cortical direction of attention. This is joint work with Lawrence Ward.

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Citation data

  • DOI 10.57987/IHP.2023.T1B.WS2.004
  • Cite this video Greenwood, Priscilla (29/03/2023). Building stochastic dynamical neural circuits for cortical control. IHP. Audiovisual resource. DOI: 10.57987/IHP.2023.T1B.WS2.004
  • URL https://dx.doi.org/10.57987/IHP.2023.T1B.WS2.004

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