Title :
A neurocognitive approach to self-organisation of verb actions
Author :
Elshaw, Mark ; Wermter, Stefan
Author_Institution :
Hybrid Intelligent Syst. Group, Univ. of Sunderland, UK
fDate :
6/24/1905 12:00:00 AM
Abstract :
Our approach integrates some neuroscience evidence for regional distributed modularity with cognitive evidence for action verb processing. The long-term goal is to provide a computational model for a neurally inspired self-organising robot action control system. Regional modularity in the brain involves distributed neural networks in diverse regions processing in a parallel manner. According to neurocognitive findings, action verbs are processed by associating specific cell assemblies with the appropriate body part. We present a model of the neurocognitive findings using self-organising networks that cluster action verbs into different locations or the network dependent on the body part they are associated with
Keywords :
Hebbian learning; brain models; neurophysiology; self-organising feature maps; action verb processing; body part; brain; cell assemblies; computational model; distributed neural networks; neurally inspired self-organising robot action control system; neurocognitive approach; regional distributed modularity; self-organisation; verb actions; Brain modeling; Cerebral cortex; Electroencephalography; Hebbian theory; Hybrid intelligent systems; Magnetic field measurement; Magnetic resonance imaging; Neurons; Positron emission tomography; Speech;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005437