Topic: connection weights

Predicting the future state of the environment is a crucial task for neural systems, which must compensate for significant delays in both sensation and action. Despite this fundamental importance, we lack a rigorous theoretical understanding of the underlying mechanisms of prediction. While several phenomenological and biophysical mechanisms have been proposed to model experimental data, they are typically nonlinear and difficult to analyze. On the other hand, prediction has been exhaustively studied in classical linear filtering theory, but this engineering approach does not explicitly addres