The information content of Local Field Potentials: experiments and models

TL;DR

This paper investigates the information content of Local Field Potentials (LFPs) across different frequency ranges, combining experiments and models to understand their role in neural coding and information processing.

Contribution

It provides a comprehensive analysis of the information carried by various LFP frequency bands through experimental data and computational modeling.

Findings

Certain frequency ranges carry distinct information

Some frequency bands provide overlapping information

LFPs encode neural activity over multiple time scales

Abstract

The LFPs is a broadband signal that captures variations of neural population activity over a wide range of time scales. The range of time scales available in LFPs is particularly interesting from the neural coding point of view because it opens up the possibility to investigate whether there are privileged time scales for information processing, a question that has been hotly debated over the last one or two decades.It is possible that information is represented by only a small number of specific frequency ranges, each carrying a separate contribution to the information representation. To shed light on this issue, it is important to quantify the information content of each frequency range of neural activity, and understand which ranges carry complementary or similar information.