Results 221 to 230 of about 25,328 (252)
Some of the next articles are maybe not open access.
Synchronized Interactions in Spiked Neuronal Networks
The Computer Journal, 2008The study of artificial neural networks has originally been inspired by neurophysiology and cognitive science. It has resulted in a rich and diverse methodology and in numerous applications to machine intelligence, computer vision, pattern recognition and other applications. The random neural network (RNN) is a probabilistic model which was inspired by
Erol Gelenbe, Stelios Timotheou
openaire +1 more source
Associative memory in networks of spiking neurons
Neural Networks, 2001Here, we develop and investigate a computational model of a network of cortical neurons on the base of biophysically well constrained and tested two-compartmental neurons developed by Pinsky and Rinzel [Pinsky, P. F., & Rinzel, J. (1994). Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons.
Friedrich T. Sommer, Thomas Wennekers
openaire +2 more sources
Statistical Mechanics for a Network of Spiking Neurons
Neural Computation, 1993We show that a simple statistical mechanics model can capture the collective behavior of large networks of spiking neurons. Qualitative arguments suggest that regularly firing neurons should be described by a planar "spin" of unit length. We extract these spins from spike trains and then measure the interaction Hamiltonian using simulations of small ...
Leonid Kruglyak, William Bialek
openaire +1 more source
Network of Spiking Neurons Driven by Compression
2016 Data Compression Conference (DCC), 2016Our work aims to design an intelligent agent that chooses its actions based on compression as a reward signal. The design falls into the category of spiking neural network. In the scenarios tested, the goal of the agent is to compress an input stream of bytes. Neurons are organized by layers and connected to other neurons at adjacent layers.
Alexander Gain, Lawrence Holder
openaire +1 more source
Spiking Neural Networks for Cortical Neuronal Spike Train Decoding
Neural Computation, 2010Recent investigation of cortical coding and computation indicates that temporal coding is probably a more biologically plausible scheme used by neurons than the rate coding used commonly in most published work. We propose and demonstrate in this letter that spiking neural networks (SNN), consisting of spiking neurons that propagate information by the ...
Huijuan Fang +2 more
openaire +2 more sources
Temporal Correlations in Stochastic Networks of Spiking Neurons
Neural Computation, 2002The determination of temporal and spatial correlations in neuronal activity is one of the most important neurophysiological tools to gain insight into the mechanisms of information processing in the brain. Its interpretation is complicated by the difficulty of disambiguating the effects of architecture, single-neuron properties, and network dynamics ...
Carsten Meyer, Carl van Vreeswijk
openaire +2 more sources
Fast Sigmoidal Networks via Spiking Neurons
Neural Computation, 1997We show that networks of relatively realistic mathematical models for biological neurons in principle can simulate arbitrary feedforward sigmoidal neural nets in a way that has previously not been considered. This new approach is based on temporal coding by single spikes (respectively by the timing of synchronous firing in pools of neurons) rather ...
openaire +3 more sources
Networks of spiking neurons in modeling and problem solving
Neurocomputing, 2004In this paper, we describe the networks of spiking neurons and show their applications for modeling and problem solving. We have used integrate-and-fire neuron model that closely simulates a biological neuron's behavior. First, we model the somatosensory system with Hebbian-type spike-time-dependent plasticity and show the ability of the network to ...
Krzysztof J. Cios +2 more
openaire +1 more source
Spiking Neuron-Astrocyte Networks for Image Recognition
Neural ComputationAbstract From biological and artificial network perspectives, researchers have started acknowledging astrocytes as computational units mediating neural processes. Here, we propose a novel biologically inspired neuron-astrocyte network model for image recognition, one of the first attempts at implementing astrocytes in spiking neuron ...
Lorenzo, Jhunlyn +3 more
openaire +4 more sources
Control of a Network of Spiking Neurons
IFAC Proceedings Volumes, 2010Abstract Systems consisting of a large number of coupled or decoupled oscillators with different natural oscillation frequencies have been a subject of scientific interest. In this article, we study the problem of simultaneous control of a network of spiking neurons characterized by different natural dynamics.
openaire +1 more source