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» A Spiking Neuron as Information Bottleneck
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IJCNN
2006
IEEE
14 years 1 months ago
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...
Alexei V. Ivanov, Alexander A. Petrovsky
IJON
2002
91views more  IJON 2002»
13 years 7 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...
BC
2007
107views more  BC 2007»
13 years 7 months ago
Decoding spike train ensembles: tracking a moving stimulus
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
Enrico Rossoni, Jianfeng Feng
IJON
2007
73views more  IJON 2007»
13 years 7 months ago
Improvement of spike coincidence detection with facilitating synapses
A realistic model of activity dependent dynamical synapses is used to study the conditions in which a postsynaptic neuron detects temporal coincidences of spikes arriving from N d...
Jorge F. Mejías, Joaquín J. Torres
IJON
2006
60views more  IJON 2006»
13 years 7 months ago
Spatiotemporal clustering of synchronized bursting events in neuronal networks
in vitro neuronal networks display Synchronized Bursting Events (SBEs), with characteristic temporal width of 100-500 ms and frequency of once every few seconds. We analyze such d...
Uri Barkan, David Horn