A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour

By Kevin N. Gurney, Tony J. Prescott, Peter Redgrave. Biological cybernetics, 2001

380 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology

View Paper: https://www.semanticscholar.org/paper/35034cf8114589ec2971a02e57e29a50f89b5680

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Citations in the corpus

On the Relationships between Generative Encodings, Regularity, and Learning Abilities when Evolving Plastic Artificial Neural Networks (2013, methodology): “[34–36]) are described as graph of neural maps (spatially-organized identical neurons) in which each connection is labeled by a set of parameters that represent the connection scheme [16](Figure 3).”
Intrinsically Motivated Learning in Natural and Artificial Systems (2013, methodology): “For example, an experiment by Harlow et al. (1950) showed that rhesus monkeys would learn how to unerringly unlatch a complex mechanical puzzle”
Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy (2013, methodology): “According to the second version, the hyper-direct pathway globally inhibits all motor programs, including the desired one, which is distinguished only by its additional activation via the direct pathway (Gurney et al., 2001a; Nambu, 2004; Humphries et al., 2006).”
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “In a follow-up paper [13] it was made clear that GA-fitting methods were employed to obtain a first approximation to the experimental NMR spectrum.”
What is reinforced by phasic dopamine signals? (2008, background): “Since the proposed selection process works by assessing the relative magnitudes of input saliences in competing channels (Gurney et al., 2001a; Gurney et al., 2001b; Humphries et al., 2006), boosting the input of a particular channel would increase its likelihood of future selection.”
Goal-directed and habitual control in the basal ganglia: implications for Parkinson's disease (2010, background): “— results in effective action selection, in computational model”
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions (2007, methodology): “Biologically realistic network models (Gurney et al., 2001a, 2001b) have shown how the basal ganglia could perform the required selection computation.”