Toggling between gamma-frequency activity and suppression of cell assemblies

  • Börgers C
  • Walker B
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Abstract

Gamma (30-80 Hz) rhythms in hippocampus and neocortex resulting from the interaction of excitatory and inhibitory cells (E- and I-cells), called Pyramidal-Interneuronal Network Gamma (PING), require that the I-cells respond to the E-cells, but don't fire on their own. In idealized models, there is a sharp boundary between a parameter regime where the I-cells have weak-enough drive for PING, and one where they have so much drive that they fire without being prompted by the E-cells. In the latter regime, they often de-synchronize and suppress the E-cells; the boundary was therefore called the "suppression boundary" by Börgers and Kopell (2005). The model I-cells used in the earlier work by Börgers and Kopell have a "type 1" phase response, i.e., excitatory input always advances them. However, fast-spiking inhibitory basket cells often have a "type 2" phase response: Excitatory input arriving soon after they fire delays them. We study the effect of the phase response type on the suppression transition, under the additional assumption that the I-cells are kept synchronous by gap junctions. When many E-cells participate on a given cycle, the resulting excitation advances the I-cells on the next cycle if their phase response is of type 1, and this can result in suppression of more E-cells on the next cycle. Therefore, strong E-cell spike volleys tend to be followed by weaker ones, and vice versa. This often results in erratic fluctuations in the strengths of the E-cell spike volleys. When the phase response of the I-cells is of type 2, the opposite happens: strong E-cell spike volleys delay the inhibition on the next cycle, therefore tend to be followed by yet stronger ones. The strengths of the E-cell spike volleys don't oscillate, and there is a nearly abrupt transition from PING to ING (a rhythm involving I-cells only).

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APA

Börgers, C., & Walker, B. (2013). Toggling between gamma-frequency activity and suppression of cell assemblies. Frontiers in Computational Neuroscience, 7. https://doi.org/10.3389/fncom.2013.00033

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