Title :
A neural network model of transformations in the somatosensory system
Author :
Bankman, Isaac N. ; Johnson, Kenneth O. ; Hsiao, Steven S.
Author_Institution :
Johns Hopkins Univ. Sch., of Med., Baltimore, MD, USA
Abstract :
Neural responses simulated using a feed-forward, linear neural network were compared to responses recorded from neurons of the primary somatosensory cortex responding to stimulation of the finger pad with embossed letters. Based on the similarity between simulated and observed responses, it is hypothesized that ascending paths of the somatosensory system might have a general structure similar to the organization of this model network and that early cortical responses could be partial transforms leading to a nonisomorphic higher level representation of spatial form
Keywords :
mechanoception; neural nets; physiological models; ascending paths; early cortical responses; embossed letters; feed-forward linear model; finger pad stimulation; neural network model; nonisomorphic higher level representation; partial transforms; primary somatosensory cortex; somatosensory system transformations; tactile sense; Biological neural networks; Biomedical engineering; Brain modeling; Feedforward neural networks; Feedforward systems; Fingers; Intelligent networks; Medical simulation; Neural networks; Neurons;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96594
