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» Saliency extraction with a distributed spiking neural networ...
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IJON
2007
109views more  IJON 2007»
14 years 9 months ago
Monophonic sound source separation with an unsupervised network of spiking neurones
We incorporate auditory-based features into an unconventional pattern classification system, consisting of a network of spiking neurones with dynamical and multiplicative synapse...
Ramin Pichevar, Jean Rouat
IWANN
2001
Springer
15 years 2 months ago
Neurobiological Modeling of Bursting Response During Visual Attention
: Thalamic neurons have an exclusive property named bursting response. Bursting response seems to have a critical role in producing saliency map and encoding conspicuity of locatio...
Reza Rajimehr, Leila Montaser Kouhsari
62
Voted
ICANN
2009
Springer
15 years 4 months ago
Algorithms for Structural and Dynamical Polychronous Groups Detection
Polychronization has been proposed as a possible way to investigate the notion of cell assemblies and to understand their role as memory supports for information coding. In a spiki...
Régis Martinez, Hélène Paugam...
NN
2007
Springer
15 years 3 months ago
Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data
The signature of neuronal assemblies is the higher-order correlation structure of the spiking activity of the participating neurons. Due to the rapid progress in recording technol...
Sonja Grün, Moshe Abeles, Markus Diesmann
IJCNN
2000
IEEE
15 years 2 months ago
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
Alberto Paccanaro, Geoffrey E. Hinton