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TCS
2008
13 years 10 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
JCNS
2000
67views more  JCNS 2000»
13 years 10 months ago
Renewal-Process Approximation of a Stochastic Threshold Model for Electrical Neural Stimulation
In a recent set of modeling studies we have developed a stochastic threshold model of auditory nerve response to single biphasic electrical pulses (Bruce et al., 1999c) and moderat...
Ian C. Bruce, Laurence S. Irlicht, Mark W. White, ...
ICASSP
2011
IEEE
13 years 1 months ago
Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...
IJPP
2008
72views more  IJPP 2008»
13 years 10 months ago
Modulo Path History for the Reduction of Pipeline Overheads in Path-based Neural Branch Predictors
Neural-inspired branch predictors achieve very low branch misprediction rates. However, previously proposed implementations have a variety of characteristics that make them challen...
Gabriel H. Loh, Daniel A. Jiménez
NOLISP
2007
Springer
14 years 4 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...