An information theoretical interpretation of neuronal activities

The author proposes a theory that describes how information propagates in biological neural networks. The `distance´ between given neuronal activities and biologically meaningless signals is measured by the use of statistically defined quantities. An information-theoretical interpretation of neuronal activities is given. By assuming that the biological networks process information is to minimise the redundancy of encoding, one can derive a wave equation which means that the statistically defined quantities propagate in biological neural networks. The propagation of information is essentially synonymous with information processing in the present setting. The present theory provides a concrete and direct way to observe how information propagates using data acquired in experiments such as optical recording