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Capacity of strong attractor patterns to model

behavioural and cognitive prototypes

<24>Paper solves thirty year old open problem of a rigorous mathematical method to compute capacity of Hopfield like networks, replacing the mathematically unjustifiable replica technique. Strong, i.e., multiply learned, patterns are proposed to model attachment and behavioural prototypes in psychology: The striking property proved in the paper that their capacity is proportional to the square of their multiplicity (degree) explains why addictive behavioural patterns are so robust. It pioneers a completely new area of research in neural modeling of psychotherapy with interdisciplinary applications. This work has inspired a novel psychotherapy, presented at Institute of Psychiatry (Neuroimaging Department) on 02-05-2013. Acceptance:25%/1420