Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.


Science 14 September 1984:
Vol. 225. no. 4667, pp. 1157 - 1159
DOI: 10.1126/science.6474167

Articles

Science, Vol 225, Issue 4667, 1157-1159
Copyright © 1984 by American Association for the Advancement of Science


articles

Transformation of binomial input by the postsynaptic membrane at a central synapse

H Korn, and A Mallet

Although a binomial model gives an adequate description of the release properties of central afferent synapses, slight differences between experimental and predicted probability density functions are observed, with an excess number of responses recorded around the means. These discrepancies can be quantified by comparing experimental and theoretical entropies, which could relate to information transfer at these junctions. A model, based on the experimentally supported assumption that the postsynaptic membrane functions as a nonlinear processor, minimizes the differences between the distributions of the recorded and predicted potentials. According to this model, the nonlinearity is due to a localized interaction between the effects of simultaneously activated adjacent synapses.





To Advertise     Find Products


Science. ISSN 0036-8075 (print), 1095-9203 (online)