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HIS
2004
15 years 3 days ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Yuan Yan Chen, Joseph J. Chen
ESANN
2006
15 years 3 days ago
Saliency extraction with a distributed spiking neural network
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
Sylvain Chevallier, Philippe Tarroux, Hél&e...
CORR
2010
Springer
169views Education» more  CORR 2010»
14 years 10 months ago
Spiking Neurons with ASNN Based-Methods for the Neural Block Cipher
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
Saleh Ali K. Al-Omari, Putra Sumari
NIPS
2007
15 years 4 days ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
CJ
2008
108views more  CJ 2008»
14 years 10 months ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen