Associative memory for patterns with different bias

H Englisch, M Herrmann

Research output: Contribution to journalArticlepeer-review


A neural network model for the storage of patterns with different biases is considered analytically. When introducing an optimized external field the model reaches the theoretically maximal storage capacity in the limit of strong bias. The information processing abilities were calculated in the strongly diluted approximation, and a version of the model with nonlinear synapses was dealt with. In addition, models from literature which store biased patterns by a doubling procedure were analysed, and it is shown that their capacity is far below the theoretical limit.
Original languageEnglish
Pages (from-to)223-242
Number of pages20
JournalNetwork: Computation in Neural Systems
Issue number2
Publication statusPublished - 1 Jan 1993


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