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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

Cortical tracking of hierarchical linguistic structures in connected speech

TL;DR: It is found that, during listening to connected speech, cortical activity of different timescales concurrently tracked the time course of abstract linguistic structures at different hierarchical levels, such as words, phrases and sentences.
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Revealing neuronal function through microelectrode array recordings

TL;DR: The ongoing advancements in microelectrode technology are introduced, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry.
Journal ArticleDOI

Scale-free brain activity: past, present, and future

TL;DR: Although scale-free brain activity and brain oscillations coexist, the understanding of the former remains limited and a deeper understanding of this prevalent brain signal should provide new insights into, and analytical tools for, cognitive neuroscience.
Journal ArticleDOI

Theta Phase Segregation of Input-Specific Gamma Patterns in Entorhinal-Hippocampal Networks

TL;DR: Gamma synchronization as a mechanism for interregional communication rapidly loses efficacy at higher frequencies, and LFP gamma patterns below 100 Hz in the hippocampus were consistently layer specific and largely reflected afferent activity.
Journal ArticleDOI

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.

TL;DR: The results provide a simple formula for estimating the time course of the LFP from LIF network simulations in cases where a single pyramidal population dominates the L FP generation, and thereby facilitate quantitative comparison between computational models and experimental LFP recordings in vivo.
References
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Journal ArticleDOI

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TL;DR: An information theoretic measure is derived that quantifies the statistical coherence between systems evolving in time and is able to distinguish effectively driving and responding elements and to detect asymmetry in the interaction of subsystems.
Journal ArticleDOI

The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes

TL;DR: High-density recordings of field activity in animals and subdural grid recordings in humans can provide insight into the cooperative behaviour of neurons, their average synaptic input and their spiking output, and can increase the understanding of how these processes contribute to the extracellular signal.
Book

Spiking Neuron Models: Single Neurons, Populations, Plasticity

TL;DR: A comparison of single and two-dimensional neuron models for spiking neuron models and models of Synaptic Plasticity shows that the former are superior to the latter, while the latter are better suited to population models.
Book

Electric Fields of the Brain: The Neurophysics of Eeg

Paul L. Nunez, +1 more
TL;DR: In this article, the authors present an overview of the physics-EEG interface, including the physics of electromagnetic fields and EEG, as well as EEG-based recording strategies, reference issues, and dipole localization.
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