Robust rhythmogenesis via spike-timing-dependent plasticity

Rhythmic activity has been observed in numerous animal species ranging from insects to humans, and relation a wide range of cognitive tasks. Various experimental theoretical studies have investigated rhythmic activity. The efforts mainly focused on the neuronal dynamics, under assumption that network connectivity satisfies certain fine-tuning conditions required generate oscillations. However, it remains unclear how this is achieved. Here we hypothesis spike-timing-dependent plasticity (STDP) can provide underlying mechanism for tuning synaptic We addressed question modeling study. examined STDP dynamics framework excitatory inhibitory populations suggested underlie generation oscillations gamma range. Mean-field Fokker-Planck equations weight are derived limit slow learning. drew approximation determine which types rules drive system exhibit activity, demonstrate parameters characterize rule govern Finally, propose ensure robustness self-developing processes general, rhythmogenesis particular.