Hebbian encoding in the biological visual system
Abstract
We examined neural networks built of several hundred Hodgkin-Huxley neurons. The main aim of the research described below was to simulate memory processes occurring in hippocampus and biological visual system. In our model we chose the ancient Chinese I-Ching Oracle as a set of input patterns. Maps of Hebbian weights appearing on the output device of the model can be analysed by artificial neural networks playing a role of some kind of visual consciousness.
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PDFDOI: http://dx.doi.org/10.17951/ai.2004.2.1.309-314
Date of publication: 2015-01-04 00:00:00
Date of submission: 2016-04-27 10:11:19
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Copyright (c) 2015 Annales UMCS Sectio AI Informatica
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