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This chapter discusses computer modelling of hierarchical motor function in the brain. The focus is on dynamical models that utilise biologically plausible neural network architectures with local associative synaptic learning rules. The chapter begins with a review of our own laboratory’s work in this area. We present a series of hierarchical motor models and relate these to various areas of brain function. This is followed by a discussion of the limitations of these models and directions for future research.

Original publication





Book title

Computational and Robotic Models of the Hierarchical Organization of Behavior


Springer Berlin Heidelberg

Publication Date



293 - -317