ArticleEntropy (Basel, Switzerland)2018
Information-Theoretical Analysis of the Neural Code in the Rodent Temporal Lobe.
Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 2 citations in OpenAlex.
- Deep brain stimulation-induced normalization of hippocampal synchrony in a transgenic rat model of Alzheimer's disease.Theranostics · 2025Article
- Estimating the Mutual Information between Two Discrete, Asymmetric Variables with Limited Samples.Entropy (Basel, Switzerland) · 2019Article
- Information Theory in Neuroscience.Entropy (Basel, Switzerland) · 2019Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
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.
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