An Entropy Model of Primitive Neural Systems
R. M. Bergström, Olavi Nevanlinna · International Journal of Neuroscience · 1972
A Computer simulation of open neural systems, of which the mathematical treatment is almost impossible, has revealed entropy behaviour generally similar to that of the closed systems. However, the entropy value is dependent upon the temporal pattern of the input energy. This dependence is in accordance with the hypothesis made: the difference between the state of the system and the state at maximum entropy grows with the input information per unit of input energy. It is thus demonstrable that the definition of the concept of neural energy, in accordance with its physical analogy, is advantageous from the standpoint of the treatment of information capacity and the information transfer properties of simple neural systems.