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» Probabilistic Models of Neuronal Spike Trains
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ESANN
2007
13 years 10 months ago
Bat echolocation modelling using spike kernels with Support Vector Regression
Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
Bertrand Fontaine, Herbert Peremans, Benjamin Schr...
ICANN
2007
Springer
14 years 17 days ago
Text-Independent Speaker Authentication with Spiking Neural Networks
This paper presents a novel system that performs text-independent speaker authentication using new spiking neural network (SNN) architectures. Each speaker is represented by a set ...
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...
IJON
2002
91views more  IJON 2002»
13 years 8 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...
NECO
2011
13 years 3 months ago
Mechanisms That Modulate the Transfer of Spiking Correlations
Correlations between neuronal spike trains impact network dynamics and population coding. Overlapping afferent populations and correlations between presynaptic spike trains intro...
Robert Rosenbaum, Kresimir Josic
ICES
2003
Springer
111views Hardware» more  ICES 2003»
14 years 1 months ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...