NDLI: A neural network model of peri-hand space representation and its plastic properties related to tool use

Content Provider	IEEE Xplore Digital Library
Author	Magosso, E. Zavaglia, M. Serino, A. di Pellegrino, G. Ursino, M.
Copyright Year	2008
Description	Author affiliation: Psychol. Dept., Univ. of Bologna, Cesena (Serino, A.) \|\| Dept. of Electron., Comput. Sci. & Syst., Univ. of Bologna, Cesena (Magosso, E.; Zavaglia, M.; Ursino, M.)
Abstract	In the present study, we investigated the neural basis of peri-hand space representation and its plastic modifications related to tool-use by means of a neural network model. The model includes two networks (one per hemisphere/hand); each network includes two unimodal areas (visual and tactile, respectively) linked via synapses to a third downstream bimodal (visual-tactile) area. The two hemispheres interact via inhibitory synapses. The model assumes that synapses linking unimodal to bimodal neurons can be reinforced by a Hebbian rule during tool-use training; this reinforcement is also under the influence of spatial attentive mechanisms. To assess the effects of tool-use training, we simulated the visual-tactile interaction both in a healthy and a pathological subject with left tactile extinction, before and after the training. Results show that the integrative visual-tactile peri-hand area, limited around the hand before the training, is modified by tool-use to include new sectors of space, thanks to the sprouting of new visual synapses. The new size and shape of peri-hand area is determined by the attentive mechanisms active during tool-use training, which highlight only specific portions of the visual space functionally relevant to the use of the tool. The model may be of value to analyze the neural mechanisms responsible for representing and plastically shaping peripersonal space, and for the interpretation of psychophysical data on neurological patients with spatial perceptual deficits.
Starting Page	1
Ending Page	6
File Size	245232
Page Count	6
File Format	PDF
ISBN	9781424428441
DOI	10.1109/BIBE.2008.4696824
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-08
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Plastics Neurons Humans Radio frequency Psychology Computer science Biological neural networks Joining processes Pathology
Content Type	Text
Resource Type	Article

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