Temporal precision of spike response to fluctuating input in pulse-coupled networks of oscillating neurons

Abstract

A single neuron is known to generate almost identical spike trains when the same fluctuating input is repeatedly applied. Here, we study the reliability of spike firing in a pulse-coupled network of oscillator neurons receiving fluctuating inputs. We can study the precise responses of the network as synchronization between uncoupled copies of the network by a common noisy input. To study the noise-induced synchronization between networks, we derive a self-consistent equation for the distribution of spike-time differences between the networks. Solving this equation, we elucidate how the spike precision changes as a function of the coupling strength.

10 pages, 3 figures

References in corpus (2)

• Noise-Induced Synchronization and Clustering in Ensembles of Uncoupled Limit-Cycle Oscillators
• Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation

Cited by in corpus (5)

• Noise bridges dynamical correlation and topology in coupled oscillator networks
• Stochastic phase reduction for a general class of noisy limit cycle oscillators
• Noise-induced quantum synchronization
• Impact of intrinsic biophysical diversity on the activity of spiking neurons
• How to correctly quantify neuronal phase-response curves from noisy recordings