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Science 24 August 1990:
Vol. 249. no. 4971, pp. 892 - 895
DOI: 10.1126/science.2392679
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Articles

Science, Vol 249, Issue 4971, 892-895
Copyright © 1990 by American Association for the Advancement of Science

articles

A network model of catecholamine effects: gain, signal-to-noise ratio, and behavior

D Servan-Schreiber, H Printz, and JD Cohen

School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213.

At the level of individual neurons, catecholamine release increases the responsivity of cells to excitatory and inhibitory inputs. A model of catecholamine effects in a network of neural-like elements is presented, which shows that (i) changes in the responsivity of individual elements do not affect their ability to detect a signal and ignore noise but (ii) the same changes in cell responsivity in a network of such elements do improve the signal detection performance of the network as a whole. The second result is used in a computer simulation based on principles of parallel distributed processing to account for the effect of central nervous system stimulants on the signal detection performance of human subjects.


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