Sinha, Sitabhra and Basak, Jayanta (1999) Response of an Excitatory-Inhibitory Neural Network to External Stimulation: An Application to Image Segmentation. In: Ninth International Conference on Artificial Neural Networks, 1999. ICANN 99, 7-10 September, Edinburgh, Vol.2, 803-808.
Neural network models comprising elements which have exclusively excitatory or inhibitory synapses are capable of a wide range of dynamic behavior, including chaos. In this paper, a simple excitatory-inhibitory neural pair, which forms the building block of larger networks, is subjected to external stimulation. The response shows transition between various types of dynamics, depending upon the magnitude of the stimulus. Coupling such pairs over a local neighborhood in a two-dimensional plane, the resultant network can achieve a satisfactory segmentation of an image into "object" and "background".
|Item Type:||Conference Paper|
|Additional Information:||Copyright of this article belongs to Institution of Electrical Engineers (IEE)|
|Department/Centre:||Division of Physical & Mathematical Sciences > Physics|
|Date Deposited:||18 Oct 2005|
|Last Modified:||19 Sep 2010 04:20|
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