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» A spiking neuron model: applications and learning
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ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 16 days ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
ISCAS
1999
IEEE
114views Hardware» more  ISCAS 1999»
13 years 12 months ago
Auditory cortical spectral shape analysis in analog VLSI
An analog VLSI circuit used to model spectral shape analysis in the central auditory system is presented. Like the receptive fields of visual cortical neurons, the spectral respon...
M. Erturk, David J. Klein, Shihab A. Shamma
MICAI
2004
Springer
14 years 29 days ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa
ICPR
2008
IEEE
14 years 8 months ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre
ICONIP
2008
13 years 9 months ago
A Novel Approach for Hardware Based Sound Classification
Several applications would emerge from the development of efficient and robust sound classification systems able to identify the nature of non-speech sound sources. This paper prop...
Mauricio Kugler, Victor Alberto Parcianello Benso,...