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NECO
2008
114views more  NECO 2008»
13 years 7 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
GPEM
2000
121views more  GPEM 2000»
13 years 7 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
NN
2000
Springer
148views Neural Networks» more  NN 2000»
13 years 7 months ago
Anxiety-like behavior in rats: a computational model
This work describes a neural network model of the rat exploratory behavior in the elevated plus-maze, a test used to study anxiety. It involves three parameters: drive to explore;...
Cristiane Salum, Silvio Morato, Antônio C. R...
NN
2007
Springer
13 years 7 months ago
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
Prashant Joshi
ICMCS
2009
IEEE
153views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Audio-visual privacy protection for video conference
Group video-conferencing systems are routinely used in major corporations, hospitals and universities for meetings, tele-medicine and distance learning among participants from very...
M. Vijay Venkatesh, Jian Zhao, L. Profitt, Sen-Chi...