DocumentCode :
446006
Title :
Modeling cortico-subcortical interactions during planning, learning, and voluntary control of actions
Author :
Bullock, Daniel
Author_Institution :
Dept. Cognitive & Neural Syst., Boston Univ., MA, USA
Volume :
3
fYear :
2005
fDate :
31 July-4 Aug. 2005
Firstpage :
1653
Abstract :
Recent computer modeling studies have made substantial progress toward specifying how adaptive cortical circuits involved in planning and voluntary control of actions may interact with adaptive sub-cortical circuits, notably those in the basal ganglia and the cerebellum. A key aspect of any comprehensive model is the proposed division of labor among frontal cortex, basal ganglia, and the cerebellum, all of which may be significantly engaged during most voluntary planning and action. This paper presents an emerging theoretical synthesis based on an interlocking set of formal computational hypotheses, which specify how local circuit features in the three areas interact, via neuro-anatomically established pathways within and between the areas, to solve fundamental learning and performance problems encountered during voluntary planning and action. Results of simulations that demonstrate the mutual coherence and explanatory power of the hypotheses, vis-a-vis extensive behavioral and neurophysiological data, were reviewed.
Keywords :
brain models; neurophysiology; adaptive subcortical circuit; basal ganglia; cerebellum; computer modeling; cortico-subcortical interaction; formal computational hypotheses; frontal cortex; fundamental learning; neurophysiology; voluntary action; voluntary planning; Adaptive control; Basal ganglia; Brain modeling; Cerebral cortex; Circuit simulation; Circuit synthesis; Computational modeling; Mediation; Path planning; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
Type :
conf
DOI :
10.1109/IJCNN.2005.1556127
Filename :
1556127
Link To Document :
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