Robust Rhythmogenesis in the Gamma Band via Spike Timing Dependent Plasticity
Gabi Socolovsky (1), Maoz Shamir (1) ((1) Ben-Gurion University of, the Negev)

TL;DR
This paper investigates how spike timing dependent plasticity (STDP) can naturally tune neural network connectivity to generate gamma band rhythms, providing a robust self-organizing mechanism for rhythmic activity.
Contribution
It introduces a modeling framework showing how STDP rules can lead to gamma oscillations without fine-tuning, highlighting a novel robustness mechanism.
Findings
STDP can induce gamma oscillations in neural networks.
Parameters of STDP rules control rhythmic activity.
A new mechanism ensures robustness of rhythmogenesis.
Abstract
Rhythmic activity in the gamma band (30-100Hz) has been observed in numerous animal species ranging from insects to humans, and in relation to a wide range of cognitive tasks. Various experimental and theoretical studies have investigated this rhythmic activity. The theoretical efforts have mainly been focused on the neuronal dynamics, under the assumption that network connectivity satisfies certain fine-tuning conditions required to generate gamma oscillations. However, it remains unclear how this fine tuning is achieved. Here we investigated the hypothesis that spike timing dependent plasticity (STDP) can provide the underlying mechanism for tuning synaptic connectivity to generate rhythmic activity in the gamma band. We addressed this question in a modeling study. We examined STDP dynamics in the framework of a network of excitatory and inhibitory neuronal populations that has been…
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