Photonic neural networks benefit from the use of photons to perform intelligent inference
computing with ultrafast and ultralow energy consumption in ultra-high-throughput, providing …

Speech Sound Disorders (SSDs) is a generic term used to describe a range of difficulties
producing speech sounds in children. The foundations of clinical assessment, classification …

We present some recent investigations resulting from the modeling of neural networks as
dynamical systems, and deal with the following questions, adressed in the context of specific …

Experimental and theoretical approaches to global brain dynamics that draw on the latest
research in the field. The consideration of time or dynamics is fundamental for all aspects of …

In this paper, we pursue recent observations that, through selective dendritic filtering, single
neurons respond to specific sequences of presynaptic inputs. We try to provide a principled …

We derive rigorous results describing the asymptotic dynamics of a discrete time model of
spiking neurons introduced in Soula et al.(Neural Comput. 18, 1, 2006). Using symbolic …

We present a mathematical analysis of a networks with Integrate-and-Fire neurons with
conductance based synapses. Taking into account the realistic fact that the spike time is only …

Recently, in the past decade, high-frequency oscillations (HFOs), very high-frequency
oscillations (VHFOs), and ultra-fast oscillations (UFOs) were reported in epileptic patients …

Phase noise derives from the phase random variation of signal in many physical or
biological systems. Based on a three dimension memristive Hindmarsh-Rose neuron model …

The ability of discrete-time nonlinear recurrent neural networks to store time-varying small
input signals is investigated with mean-field theory. The combination of a small input …