You are not currently logged in.
Access JSTOR through your library or other institution:
A Network Model of Catecholamine Effects: Gain, Signal-to-Noise Ratio, and Behavior
David Servan-Schreiber, Harry Printz and Jonathan D. Cohen
New Series, Vol. 249, No. 4971 (Aug. 24, 1990), pp. 892-895
Published by: American Association for the Advancement of Science
Stable URL: http://www.jstor.org/stable/2877954
Page Count: 4
You can always find the topics here!Topics: Signals, Signal noise, Signal detection, Catecholamines, False alarms, Simulations, Neurons, Supernova remnants, Mathematical functions, Logistics
Were these topics helpful?See somethings inaccurate? Let us know!
Select the topics that are inaccurate.
Preview not available
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.
Science © 1990 American Association for the Advancement of Science