A Network-Based Computational Model with Learning

摘要

As is well-known, a natural neuron is made up of a huge number of biomolecules from a nanoscopic point of view. A conventional 'artificial neural network' (ANN) [1] consists of nodes with static functions, but a more realistic' model for the brain could be implemented with functional molecular agents which move around the neural network and cause a change in the neural functionality.