Synchronization of an ensemble of oscillators is an emergent phenomenon present in
several complex systems, ranging from social and physical to biological and technological …

Recent findings of spike timing-dependent plasticity (STDP) have stimulated much interest
among experimentalists and theorists. Beyond the traditional correlation-based Hebbian …

Dynamical modeling of neural systems and brain functions has a history of success over the
last half century. This includes, for example, the explanation and prediction of some features …

Abstract Spiking Neuron Networks (SNNs) are often referred to as the 3rd generation of
neural networks. Highly inspired from natural computing in the brain and recent advances in …

Tinnitus, the perception of phantom sounds, is thought to arise from increased neural
synchrony, which facilitates perceptual binding and creates salient sensory features in the …

Theoretical neuroscience has experienced explosive growth over the past 20 years. In
addition to bringing new researchers into the field with backgrounds in physics …

The level of synchronization in distributed systems is often controlled by the strength of the
interactions between individual elements. In brain circuits the connection strengths between …

We propose a multi-timescale learning rule for spiking neuron networks, in the line of the
recently emerging field of reservoir computing. The reservoir is a network model of spiking …

Inspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI—Virtual
Partner Interaction—a coupled dynamical system for studying real time interaction between …

Future technologies aiming at restoring and enhancing organs function will intimately rely on
near-physiological and energy-efficient communication between living and artificial …