two papers: Information maps, and Information loss in decoding

[Ines Samengo]

Dear connectionists,

The following papers may be of interest to you:

Measuring information spatial densities

Michele Bezzi, Ines Samengo, Stefan Leutgeb and Sheri J. Mizumori

Accepted in Neural Computation, 2001.

Abstract: 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.

http://www.cab.cnea.gov.ar/users/samengo/pub.html

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The information loss in an optimal maximum likelihood decoding 
Ines Samengo 
Accepted in Neural Computation, 2001. 

Abstract: The mutual information between a set of stimuli and the 
elicited neural responses is compared to the corresponding decoded 
information. The decoding procedure is presented as an artificial 
flattening of the joint probabilities between stimuli and responses. 
The  information loss is quantified. Whenever the conditional 
probabilities are only slightly distorted, the information loss is 
shown to be  quadratic in the distortion. 

http://www.cab.cnea.gov.ar/users/samengo/pub.html

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Ines Samengo                             
samengo at cab.cnea.gov.ar                    fax: +54 2944 445299

Centro Atomico Bariloche
(8.400) San Carlos de Bariloche
Rio Negro
Argentina

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