The thalamus as a principal component neural network

摘要

Feature extraction and classification are the two conventional steps in any pattern recognition task. Feature extraction is proposed to take place in the thalamus by means of a new Gram-Schmidt algorithm yielding to principal component extraction.. A computational model of principal component extraction was also implemented in an artificial thalamus. For deriving the main mathematical expression a novel type of Euclidean Statistics was created.