Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times
S Yamauchi, H Kim, S Shinomoto - Frontiers in computational …, 2011 - frontiersin.org
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 …
elemental spiking neuron model that is capable of not only quantitatively reproducing spike …
Stochastic dynamics of a finite-size spiking neural network
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 …
solved to characterize the stochastic dynamics of a finite-size spiking neural network. We …
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts
C Fohlmeister, W Gerstner, R Ritz, JL Hemmen - Neural Computation, 1995 - direct.mit.edu
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 …
Refractoriness, noise, axonal delays, and the time course of excitatory and inhibitory …
Modeling collective excitations in cortical tissue
WM Kistler, R Seitz, JL Van Hemmen - Physica D: Nonlinear Phenomena, 1998 - Elsevier
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 …
distance. The interactions between the neurons decrease as the distance between them …
Associative memory model with long-tail-distributed Hebbian synaptic connections
The postsynaptic potentials of pyramidal neurons have a non-Gaussian amplitude
distribution with a heavy tail in both hippocampus and neocortex. Such distributions of …
distribution with a heavy tail in both hippocampus and neocortex. Such distributions of …
Effect of diverse recoding of granule cells on optokinetic response in a cerebellar ring network with synaptic plasticity
SY Kim, W Lim - Neural Networks, 2021 - Elsevier
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 …
the effect of diverse recoding of granule (GR) cells on OKR by varying the connection …
Cell assemblies, associative memory and temporal structure in brain signals
T Wennekers, G Palm - Time and the Brain, 2000 - taylorfrancis.com
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 …
concerning temporal structure and correlations in neural signals. We want to give a …
Robust learning in SpikeProp
SB Shrestha, Q Song - Neural Networks, 2017 - Elsevier
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 …
stability issues. Surges, marked by a sudden rise in learning cost, are a common occurrence …
Time window control: a model for cerebellar function based on synchronization, reverberation, and time slicing
WM Kistler, JL van Hemmen, CI De Zeeuw - Progress in brain research, 2000 - Elsevier
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 …
delayed reverberation, and time windows for triggering spikes. Our model suggests that …
Local lateral inhibition: a key to spike synchronization?
A Nischwitz, H Glünder - Biological Cybernetics, 1995 - Springer
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 …
for neural synchronization, we investigate mechanisms that act at the level of individual …