Brownian motion theory as a physical foundation for feedback neural networks
Mauricio Romero Bastida, Jesús Figueroa Nazuno · 1990
A stochastic physical model is proposed for a certain class of neurocomputational architectures. The present study is based on considering the potentials of each neuron as a fluctuating quantity. In describing this process, a fluctuation can be understood, in a thermodynamic framework, if one considers the behavior of the variables (the neural potentials in this model) in a system with different types of interaction with the rest of the universe