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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents

ID: 548482.0, MPI für biologische Kybernetik / Biologische Kybernetik
Neurometric function analysis of population codes
Authors:Berens, P.; Gerwinn, S.; Ecker, A.S.; Bethge, M.
Editors:Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.
Date of Publication (YYYY-MM-DD):2010-04
Title of Proceedings:Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009
Start Page:90
End Page:98
Physical Description:9
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:The relative merits of different population coding schemes have mostly been analyzed
in the framework of stimulus reconstruction using Fisher Information. Here,
we consider the case of stimulus discrimination in a two alternative forced choice
paradigm and compute neurometric functions in terms of the minimal discrimination
error and the Jensen-Shannon information to study neural population codes.
We first explore the relationship between minimum discrimination error, Jensen-
Shannon Information and Fisher Information and show that the discrimination
framework is more informative about the coding accuracy than Fisher Information
as it defines an error for any pair of possible stimuli. In particular, it includes
Fisher Information as a special case. Second, we use the framework to study population
codes of angular variables. Specifically, we assess the impact of different
noise correlations structures on coding accuracy in long versus short decoding
time windows. That is, for long time window we use the common Gaussian noise
approximation. To address the case of short time windows we analyze the Ising
model with identical noise correlation structure. In this way, we provide a new
rigorous framework for assessing the functional consequences of noise correlation
structures for the representational accuracy of neural population codes that is
in particular applicable to short-time population coding.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/NWG Bethge
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