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» Nonlinear Processing in LGN Neurons
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NIPS
2003
13 years 6 months ago
Nonlinear Processing in LGN Neurons
According to the current standard model, neurons in lateral geniculate nucleus (LGN) operate linearly. There is, however, ample evidence that LGN responses are nonlinear. To accou...
Vincent Bonin, Valerio Mante, Matteo Carandini
ICANN
2010
Springer
13 years 5 months ago
Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots
Abstract. In this article we exploit the discrete-time dynamics of a single neuron with self-connection to systematically design simple signal filters. Due to hysteresis effects an...
Poramate Manoonpong, Frank Pasemann, Christoph Kol...
IJON
1998
107views more  IJON 1998»
13 years 4 months ago
Training wavelet networks for nonlinear dynamic input-output modeling
In the framework of nonlinear process modeling, we propose training algorithms for feedback wavelet networks used as nonlinear dynamic models. An original initialization procedure...
Yacine Oussar, Isabelle Rivals, Léon Person...
NPL
2000
88views more  NPL 2000»
13 years 4 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Michael W. Spratling, Gillian Hayes
AINA
2010
IEEE
13 years 3 months ago
Compensation of Sensors Nonlinearity with Neural Networks
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Nicholas J. Cotton, Bogdan M. Wilamowski