An information-theoretic approach for evaluating probabilistic tuning functions of single neurons

An information-theoretic approach for evaluating probabilistic tuning functions of single neurons

Neuronal tuning functions can be expressed by the conditional probability of observing a spike given any combination of independent variables. However, accurately determining such probabilistic tuning functions from experimental data poses several challenges such as finding the right combination of...

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Bibliographic Details
Main Authors: Lukas eBrostek, Thomas eEggert, Seiji eOno, Michael J Mustari, Ulrich eBüttner, Stefan eGlasauer
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-03-01
Series:Frontiers in Computational Neuroscience
Subjects:
Information Theory
mutual information
MSTd
Neuronal Latency
Neuronal Tuning
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2011.00015/full

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