Title |
A computational model of action selection in the basal ganglia. I. A new functional anatomy
|
---|---|
Published in |
Biological Cybernetics, May 2001
|
DOI | 10.1007/pl00007984 |
Pubmed ID | |
Authors |
K. Gurney, T. J. Prescott, P. Redgrave |
Abstract |
We present a biologically plausible model of processing intrinsic to the basal ganglia based on the computational premise that action selection is a primary role of these central brain structures. By encoding the propensity for selecting a given action in a scalar value (the salience), it is shown that action selection may be recast in terms of signal selection. The generic properties of signal selection are defined and neural networks for this type of computation examined. A comparison between these networks and basal ganglia anatomy leads to a novel functional decomposition of the basal ganglia architecture into 'selection' and 'control' pathways. The former pathway performs the selection per se via a feedforward off-centre on-surround network. The control pathway regulates the action of the selection pathway to ensure its effective operation, and synergistically complements its dopaminergic modulation. The model contrasts with the prevailing functional segregation of basal ganglia into 'direct' and 'indirect' pathways. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 67% |
Germany | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 19 | 3% |
United States | 19 | 3% |
France | 16 | 3% |
Canada | 7 | 1% |
Germany | 5 | <1% |
Japan | 3 | <1% |
Italy | 2 | <1% |
Australia | 2 | <1% |
Russia | 2 | <1% |
Other | 11 | 2% |
Unknown | 489 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 162 | 28% |
Researcher | 118 | 21% |
Student > Master | 62 | 11% |
Student > Bachelor | 39 | 7% |
Professor | 33 | 6% |
Other | 95 | 17% |
Unknown | 66 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 104 | 18% |
Neuroscience | 102 | 18% |
Psychology | 95 | 17% |
Computer Science | 81 | 14% |
Engineering | 35 | 6% |
Other | 73 | 13% |
Unknown | 85 | 15% |