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(Neural Computation. 2002;14:405-420.)
© 2002 The MIT Press


Letter

Measuring Information Spatial Densities

Michele Bezzi

michele{at}dma.unifi.it, Cognitive Neuroscience Sector, S.I.S.S.A, Trieste, Italy, and INFM sez. di Firenze, 2 I-50125 Firenze, Italy

Inés Samengo

samengo{at}cab.cnea.gov.ar, Cognitive Neuroscience Sector, S.I.S.S.A, Trieste, Italy

Stefan Leutgeb

stefan.leutgeb{at}ifn-magdeburg.de, Program in Neuroscience and Department of Psychology, Universityof Utah, Salt Lake City, UT 84112, U.S.A.

Sheri J. Mizumori

mizumori{at}u.washington.edu, Psychology Department, University of Washington, Seattle, WA 98195, U.S.A.

A novel definition of the stimulus-specific information is presented, which is particularly useful when the stimuli constitute a continuous and metric set, as, for example, position in space. The approach allows one to build the spatial information distribution of a given neural response. The method is applied to the investigation of putative differences in the coding of position in hippocampus and lateral septum.




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J. Shlens, M. B. Kennel, H. D. I. Abarbanel, and E. J. Chichilnisky
Estimating information rates with confidence intervals in neural spike trains.
Neural Comput., July 1, 2007; 19(7): 1683 - 1719.
[Abstract] [Full Text] [PDF]




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