Title :
A Biased Competition Model Based on Distributed Chaotic Neural Network
Author :
Zhang, Junjun ; Zhou, Changle
Author_Institution :
Inst. of Artificial Intelligence, Xiamen Univ.
Abstract :
Recent experiments suggest a new theory on the neural mechanism of attention, namely biased competition hypothesis. In the previous work, models of this hypothesis are always built on neural representation using local coding scheme. In this paper, by using another neural coding strategy, we propose a model based on a distributed chaotic neural network. We show that the collective behavior of our model can also exhibits the characteristics of the hypothesis
Keywords :
chaos; neural nets; biased competition model; distributed chaotic neural network; neural mechanism; neural representation; Artificial neural networks; Chaos; Feeds; Fires; Information filtering; Information filters; Mathematical model; Neural networks; Neurofeedback; Neurons;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614643
