A biologically inspired computational model of the Block Copying Task
- Resource Type
- Conference Poster
- Authors
- Lan, Tian; Arnold, Michael; Sejnowski, Terrence; Jabri, Marwan
- Source
- Lan, Tian and Arnold, Michael and Sejnowski, Terrence and Jabri, Marwan (2003) A biologically inspired computational model of the Block Copying Task. [Conference Poster]
- Subject
- Computer Science: Machine Learning
Computer Science: Neural Nets
Machine Learning
Neural Nets
- Language
We present in this paper a biologically inspired model of the Basal Ganglia which deals with Block Copying as a sequence learning task. By breaking a relatively complex task into simpler operations with well-defined skills, an approach which is termed as a skill-based machine design is used in the device of computational models to complete such tasks. Basal Ganglia are critically involved in sensorimotor control. From the learning aspects, Actor-Critic architectures have been proposed to model the Basal Ganglia and Temporal difference has been proposed as a learning algorithm. The model is implemented and simulation results are presented to show the capability of our model to successfully complete the task.