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Article

Information-Theoretical Analysis of the Neural Code in the Rodent Temporal Lobe

1
Departament of Medical Physics, Centro Atómico Bariloche and Instituto Balseiro, Comisión Nacional de Energía Atómica, Consejo Nacional de Investigaciones Científicas y Técnicas, 8400 San Carlos de Bariloche, Argentina
2
Fundación Instituto Leloir, Consejo Nacional de Investigaciones Científicas y Técnicas, 1425 Buenos Aires, Argentina
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(8), 571; https://doi.org/10.3390/e20080571
Received: 31 May 2018 / Revised: 12 July 2018 / Accepted: 25 July 2018 / Published: 3 August 2018
(This article belongs to the Special Issue Information Theory in Neuroscience)
In the study of the neural code, information-theoretical methods have the advantage of making no assumptions about the probabilistic mapping between stimuli and responses. In the sensory domain, several methods have been developed to quantify the amount of information encoded in neural activity, without necessarily identifying the specific stimulus or response features that instantiate the code. As a proof of concept, here we extend those methods to the encoding of kinematic information in a navigating rodent. We estimate the information encoded in two well-characterized codes, mediated by the firing rate of neurons, and by the phase-of-firing with respect to the theta-filtered local field potential. In addition, we also consider a novel code, mediated by the delta-filtered local field potential. We find that all three codes transmit significant amounts of kinematic information, and informative neurons tend to employ a combination of codes. Cells tend to encode conjunctions of kinematic features, so that most of the informative neurons fall outside the traditional cell types employed to classify spatially-selective units. We conclude that a broad perspective on the candidate stimulus and response features expands the repertoire of strategies with which kinematic information is encoded. View Full-Text
Keywords: mutual information; synergy; redundancy; neural code; hippocampus; entorhinal cortex; navigation mutual information; synergy; redundancy; neural code; hippocampus; entorhinal cortex; navigation
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MDPI and ACS Style

Maidana Capitán, M.B.; Kropff, E.; Samengo, I. Information-Theoretical Analysis of the Neural Code in the Rodent Temporal Lobe. Entropy 2018, 20, 571. https://doi.org/10.3390/e20080571

AMA Style

Maidana Capitán MB, Kropff E, Samengo I. Information-Theoretical Analysis of the Neural Code in the Rodent Temporal Lobe. Entropy. 2018; 20(8):571. https://doi.org/10.3390/e20080571

Chicago/Turabian Style

Maidana Capitán, Melisa B.; Kropff, Emilio; Samengo, Inés. 2018. "Information-Theoretical Analysis of the Neural Code in the Rodent Temporal Lobe" Entropy 20, no. 8: 571. https://doi.org/10.3390/e20080571

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