![]() ![]() Our theoretical framework can link key biological properties at the individual neuron scale and the macroscopic oscillatory network properties. We confirm the validity of our framework for specific examples of neural networks. We develop an adjoint method for this equation giving a semi-analytical expression of the infinitesimal PRC. For a sufficiently large number of neurons, the network dynamics are well captured by a continuity equation known as the refractory density equation. We adopt a renewal approach where neurons are described by the time since their last action potential, a description that can reproduce the dynamical feature of many cell types. Here we present a theoretical framework and methodology to compute the PRC of generic spiking networks with emergent collective oscillations. ![]() Inferring the PRC and developing a systematic phase reduction theory for large-scale brain rhythms remains an outstanding challenge. Key properties of such rhythms can be gleaned from the phase-resetting curve (PRC). Brain rhythms emerge from synchronization among interconnected spiking neurons. ![]()
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February 2023
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