Wolfgang Kinzel
Published 2000-10-23Version 1
An overview is given about the statistical physics of neural networks generating and analysing time series. Storage capacity, bit and sequence generation, prediction error, antipredictable sequences, interacting perceptrons and the application on the minority game are discussed. Finally, as a demonstration a perceptron predicts bit sequences produced by human beings.
High-dimensional manifold of solutions in neural networks: insights from statistical physics
Bidirectional communication in neural networks moderated by a Hebb-like learning rule
Neural Networks
