A Biased Competition Model Based on Distributed Chaotic Neural Network

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