A network model of catecholamiine effects: Gain, signal-to-noise ratio, and behavior

David Servan-Schreiber, Harry Printz, Jonathan D. Cohen

Research output: Contribution to journalArticlepeer-review

482 Scopus citations

Abstract

At the level of individual neurons, catecholamine release increases the responsivity of cells to excitatory and inhibitory inputs. A model ofcatecholamine 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.

Original languageEnglish (US)
Pages (from-to)892-895
Number of pages4
JournalScience
Volume249
Issue number4971
DOIs
StatePublished - 1990

All Science Journal Classification (ASJC) codes

  • General

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