Storing cycles in Hopfield-type networks with pseudoinverse learning rule: admissibility and network topology

19 Nov 2012 Chuan Zhang Gerhard Dangelmayr Iuliana Oprea

Cyclic patterns of neuronal activity are ubiquitous in animal nervous systems, and partially responsible for generating and controlling rhythmic movements such as locomotion, respiration, swallowing and so on. Clarifying the role of the network connectivities for generating cyclic patterns is fundamental for understanding the generation of rhythmic movements... (read more)

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