Measures for the contextual modulation of information transmission

Smyth, D., Phillips, W.A. and Kay, J.W. (1996) Measures for the contextual modulation of information transmission. Network: Computation in Neural Systems, 7(2), pp. 307-316. (doi: 10.1088/0954-898X_7_2_011)

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The aim of this paper is to show how information theoretic measures can be used to analyse and interpret the results of psychophysical experiments designed to search for conditions under which information from one source modulates the transmission of information from another source. We therefore use measures of mutual and conditional information to analyse systems with two inputs. The information transmitted by such a system can be split into three components depending on whether it is shared between the two inputs or is specific to each. We are concerned here with distinguishing systems that use one input to modulate transmission of information about the other from systems that simply add both inputs, and show how the three components provide evidence for distinguishing between additive and modulatory effects. We also report numerical simulations of the sampling biasses and variances of these measures as a function of the sample size and propose minimum sample sizes that should be used to overcome the bias.* This paper was presented at the Workshop on Information Theory and the Brain, held at the University of Stirling, UK, on 4–5 September 1995.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Kay, Dr James
Authors: Smyth, D., Phillips, W.A., and Kay, J.W.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Network: Computation in Neural Systems
Publisher:Taylor & Francis
ISSN (Online):1361-6536

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