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Kevin Gurney, Tony J Prescott, Jeffery R Wickens, and Peter Redgrave (2004)

Computational models of the basal ganglia: from robots to membranes.

Trends Neurosci, 27(8):453–459.

With the rapid accumulation of neuroscientific data comes a pressing need to develop models that can explain the computational processes performed by the basal ganglia. Relevant biological information spans a range of structural levels, from the activity of neuronal membranes to the role of the basal ganglia in overt behavioural control. This viewpoint presents a framework for understanding the aims, limitations and methods for testing of computational models across all structural levels. We identify distinct modelling strategies that can deliver important and complementary insights into the nature of problems the basal ganglia have evolved to solve, and describe methods that are used to solve them.
Animals; Basal Ganglia; Computational Biology; Humans; Models, Neurological; Nerve Net; Neural Networks (Computer); Neurons
Relevant for: WP3 empirical experiments. WP4 abstraction. WP5 intrinsic/extrinsic motivations. WP6 hierarchical architectures. This paper provides a general view of the Sheffield modelling philosophy, and in particular their models of basal ganglia which they are specialised on.