Spatio-temporal patterns in multi-electrode array local field potential recordings

TL;DR

This paper introduces a novel method for detecting traveling waves in neural local field potential recordings by transforming data into the phase domain and fitting linear models, validated on both simulated and real data.

Contribution

The paper presents a new approach for identifying traveling waves in neural recordings, extending previous methods with phase-based analysis and linear modeling.

Findings

Successful detection of traveling waves in neural data

Method verified on simulated data

Applied to recordings from a single animal

Abstract

This paper presents a method for the detection of traveling waves of activity in neural recordings from multi-electrode arrays. The method converts local field potential measurements into the phase domain and fits a series of linear models to find planar traveling waves of activity. Here I present the new approach in the context of the previous work it extends, apply the approach to data from neural recordings from a single animal, and verify the success of the method on simulated data. This paper was written in 2011, though it was uploaded to arXiv in 2014.