DocumentCode
3251705
Title
Recurrent refractory neural field
Author
Aityan, Sergey K.
Author_Institution
Dept. of Comput. Sci., Dortmund Univ., Germany
Volume
4
fYear
1992
fDate
7-11 Jun 1992
Firstpage
140
Abstract
The author introduces and describes a recurrent neural field that is made up of refractory neurons. Every neutron of the field is chaotically connected to others with stochastically distributed bonds and shows the stochastical time varying threshold. The paper takes the location of the neuron in the space-time-firing state of the neuron field into account. The term neural field is used to describe a single layer intraconnected neural network. The input and output signals are distributed between clusters of closely connected neurons. A simple example shows good logical abilities of the refractory neural field. A three neuron refractory field is able to solve the exclusive OR problem
Keywords
chaos; recurrent neural nets; time-varying systems; exclusive OR problem; logical abilities; recurrent neural nets; recurrent refractory neural field; refractory neurons; single layer intraconnected neural network; space-time-firing state; stochastical time varying threshold; stochastically distributed bonds; Biomembranes; Chaos; Computer architecture; Computer science; Damping; Equations; Fires; Neurons; Recurrent neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.227276
Filename
227276
Link To Document