Fast population coding (Huys et al. 2007)

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Accession:93394
"Uncertainty coming from the noise in its neurons and the ill-posed nature of many tasks plagues neural computations. Maybe surprisingly, many studies show that the brain manipulates these forms of uncertainty in a probabilistically consistent and normative manner, and there is now a rich theoretical literature on the capabilities of populations of neurons to implement computations in the face of uncertainty. However, one major facet of uncertainty has received comparatively little attention: time. In a dynamic, rapidly changing world, data are only temporarily relevant. Here, we analyze the computational consequences of encoding stimulus trajectories in populations of neurons. ..."
Reference:
1 . Huys QJ, Zemel RS, Natarajan R, Dayan P (2007) Fast population coding. Neural Comput 19:404-41 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s):
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Gap Junctions:
Receptor(s):
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Simulation Environment: MATLAB;
Model Concept(s): Methods;
Implementer(s):
Copyright (C) 2006 Quentin Huys

This program is free software; you can redistribute it and/or modify it under
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Quentin Huys	

Email: 	qhuys@gatsby.ucl.ac.uk
Web:	http://www.gatsby.ucl.ac.uk/~qhuys