Correlation memory models -- a first approximation in a general learning scheme

摘要: Correlation memory models, originally proposed as a possible phenomenological description of how information is stored in the brain, are shown to be first order approximation framework general learning scheme based on stochastic optimization. if latter applied adaptive filters. Under certain conditions, this already nearly optimal resulting filter gains and overall response will close what can obtained only after an infinite number steps.