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Journal ArticleDOI

Modelling and analysis of local field potentials for studying the function of cortical circuits

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TLDR
Careful mathematical modelling and analysis are needed to take full advantage of the opportunities that this signal offers in understanding signal processing in cortical circuits and, ultimately, the neural basis of perception and cognition.
Abstract
Local field potentials (LFPs) provide a wealth of information about synaptic processing in cortical populations but are difficult to interpret. Einevoll and colleagues consider the neural origin of cortical LFPs and discuss LFP modelling and analysis methods that can improve the interpretation of LFP data.

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Citations
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Journal ArticleDOI

Low-intensity exercise combined with sodium valproate attenuates kainic acid-induced seizures and associated co-morbidities by inhibiting NF-κB signaling in mice

TL;DR: In this article , the authors used a mouse model with kainic acid (KA)-induced epilepsy to compare the seizure status and the levels of related co-morbidities, in each group using animal behavioral experiment and local field potential recordings.
Posted ContentDOI

Cortical field potential dynamic driving human sensory, motor and cognitive functions

TL;DR: A method to show that local cortical networks contribute to sensory, motor and cognitive functions by stretching and contracting the trajectory of the multidimensional field potential is developed, revealing multi-dimensional cortical dynamics in field potentials.
Posted ContentDOI

Local differences in neuronal activation level decorrelate spatially coherent global fluctuations in gamma rhythms

TL;DR: To identify the mechanism, a statistical technique was developed to isolate the rhythmic component of the spiking process and found that above results are explained by an activation-dependent increase in neuronal sensitivity to gamma-rhythmic input.
Journal ArticleDOI

Network States Classification based on Local Field Potential Recordings in the Awake Mouse Neocortex

TL;DR: In this paper , a Network State Index (NSI) was proposed to identify behaviorally-relevant network states from local field potentials (LFPs) recordings in awake mice.
References
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Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
MonographDOI

Causality: models, reasoning, and inference

TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
Book ChapterDOI

Investigating causal relations by econometric models and cross-spectral methods

TL;DR: In this article, it is shown that the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
Journal ArticleDOI

Learning the parts of objects by non-negative matrix factorization

TL;DR: An algorithm for non-negative matrix factorization is demonstrated that is able to learn parts of faces and semantic features of text and is in contrast to other methods that learn holistic, not parts-based, representations.

Learning parts of objects by non-negative matrix factorization

D. D. Lee
TL;DR: In this article, non-negative matrix factorization is used to learn parts of faces and semantic features of text, which is in contrast to principal components analysis and vector quantization that learn holistic, not parts-based, representations.
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