Name
Abstract | ||
|---|---|---|
We propose a set of hypotheses about how the basal ganglia contribute to information processing in cortical networks and how the cortex and basal ganglia interact during learning and behavior. We introduce a computational model on the level of system of networks. We suggest that the basal ganglia control cortical activity by pushing a local cortical network into a new attractor state, thereby selecting certain attractors over others. The ideas of temporal difference learning and convergence of corticostriatal fibers from multiple cortical areas within the striatum are combined in a modular learning system capable of acquiring behavior with sequential structure. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0925-2312(01)00413-1 | Neurocomputing |
Keywords | Field | DocType |
Basal ganglia,Striatum,Loops,Modeling,Recurrent networks,Attractor state | Cortex (botany),Attractor,Temporal difference learning,Information processing,Striatum,Artificial intelligence,Mathematics,Basal ganglia,Machine learning | Journal |
Volume | ISSN | Citations |
38 | 0925-2312 | 3 |
PageRank | References | Authors |
0.79 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikael Djurfeldt | 1 | 298 | 22.07 |
| Örjan Ekeberg | 2 | 330 | 55.95 |
| Ann M. Graybiel | 3 | 3 | 1.47 |