ABSTRACT

The cross-discipline that emanates from the synergetic considerations related to the functioning of the neural complex and the concepts behind acquisition, processing, storage, transmission, retrieval and dissemination of neural information leads to coining a concise word “neuroinformatics.” Elucidating the information capacity in the neural complex requires a model that depicts the information flow across the interconnected neurons. Further, the primary goal of the endeavors presented here is to nurture a new avenue of research in the area of neural complex modeling. The studies addressed thereof are tailored to characterize the neural-network based optimization algorithms in the information-theoretic plane and apply such algorithms in the artificial neurocomputational efforts. The cross-discipline that emanates from the synergetic considerations related to the functioning of the neural complex and the concepts behind acquisition, processing, storage, transmission, retrieval and dissemination of neural information leads to coining a concise word “neuroinformatics.”.