Extracting information from neuronal populations: information theory and decoding approaches

By R. Quian Quiroga, Stefano Panzeri. Nature Reviews Neuroscience, 2009

854 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/02c0f04990704b5bf263cfc43866dffed2cbd0ea

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Frontiers in Integrative Neuroscience Integrative Neuroscience (positive): “To investigate how the responses of individual units differ between unimodal and bimodal stimulation, and how they are affected by audio-visual congruency, we used stimulus decoding and information analysis (Quian Quiroga and Panzeri, 2009; Panzeri et al., 2010).”
A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula (2016, methodology): “Finally, as an overall measure of the performance of the test statistics we consider the MI in the contingency table (or confusion matrix) for each test [Quian Quiroga and Panzeri, 2009]; i.e., for each repetition, the discrete MI between the binary ground-truth signiﬁcance and the sig-niﬁcance for ”
Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human Brain (2013, methodology): “We used mutual information (MI) to measure all dependencies (linear and nonlinear) between the speech signal and its encoding in brain oscillations [33,34].”
Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System (2015, background): “It should be noted that decoding accuracy gives a lower bound on the amount of information in a brain region (Quian Quiroga and Panzeri, 2009); thus, we say there is “information” about a particular variable when the decoding accuracy for that variable is above chance.”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “Phase coding is a key, yet still controversial, concept in studies of the role of neural oscillations in local circuit functions and in long-distance communication between brain areas (143, 144, 313, 786, 850, 951, 955) as well as in memory functions (425, 488, 591, 592, 594).”