Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
Neural Networks - 2006 Special issue: Neurobiology of decision making
The mind agents in Netlogo 3.1
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Learning Complex Population-Coded Sequences
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Stable-yet-switchable (SyS) attractor networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A dynamical connectionist model of idea generation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Effects of relevant and irrelevant primes on idea generation: a computational model
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A conceptual neural model of idea generation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
2012 Special Issue: A modular neural model of motor synergies
Neural Networks
Knowledge representation, learning, and problem solving for general intelligence
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
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The higher order circuitry of the brain is comprised of a large-scale network of cerebral cortical areas that are individually regulated by loops through subcortical structures, particularly through the basal ganglia and cerebellum. These subcortical loops have powerful computational architectures. Using, as an example, the relatively well-understood processing that occurs in the cortical/basal ganglionic/cerebellar distributed processing module that generates voluntary motor commands, I postulate that a network of analogous agents is an appropriate framework for exploring the dynamics of the mind.