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Fast population coding (Huys et al. 2007)
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: 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):   
Channel(s):   
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  MATLAB (web link to model);
Model Concept(s):  Methods;
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Quentin Huys

Note from ModelDB Administrator: The below is a copy of the web page http://www.gatsby.ucl.ac.uk/~qhuys/code.html made on May 29th, 2006

Code

All the code on this page is published under the GNU General Public License : All is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

Single-cell

Population Coding

Matlab and other stuff

I accumulate all kinds of snippets and tricks here .


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