In simulating realistic neuronal circuitry composed of diverse types of neurons, we need an
elemental spiking neuron model that is capable of not only quantitatively reproducing spike …

We present a simple Markov model of spiking neural dynamics that can be analytically
solved to characterize the stochastic dynamics of a finite-size spiking neural network. We …

As a simple model of the cortical sheet, we study a locally connected net of spiking neurons,
Refractoriness, noise, axonal delays, and the time course of excitatory and inhibitory …

We study a two-dimensional system of spiking neurons with local interactions depending on
distance. The interactions between the neurons decrease as the distance between them …

The postsynaptic potentials of pyramidal neurons have a non-Gaussian amplitude
distribution with a heavy tail in both hippocampus and neocortex. Such distributions of …

We consider a cerebellar ring network for the optokinetic response (OKR), and investigate
the effect of diverse recoding of granule (GR) cells on OKR by varying the connection …

In this work we discuss Hebb's old ideas about cell assemblies in the light of recent results
concerning temporal structure and correlations in neural signals. We want to give a …

Abstract Training a Spiking Neural Network using SpikeProp and its derivatives faces
stability issues. Surges, marked by a sudden rise in learning cost, are a common occurrence …

We present a new hypothesis of cerebellar function that is based on synchronization,
delayed reverberation, and time windows for triggering spikes. Our model suggests that …

Starting from the idea that neural group activity as such is unlikely to be immediately relevant
for neural synchronization, we investigate mechanisms that act at the level of individual …