brockmcarlson/laminarlabeling

LaminarLabeling

LaminarLabeling takes Blackrock .ns6 files and identifies cortical boundaries. For a detailed description of the methodology please see our manuscript's pre-print:

A ubiquitous spectrolaminar motif of local field potential power across the primate cortex

Diego Mendoza-Halliday, Alex J. Major, Noah Lee, Maxwell Lichtenfeld, Brock Carlson, Blake Mitchell, Patrick D. Meng, Yihan (Sophy) Xiong, Jacob A. Westerberg, Alexander Maier, Robert Desimone, Earl K. Miller, André M. Bastos bioRxiv 2022.09.30.510398; doi: https://doi.org/10.1101/2022.09.30.510398 This article is a preprint and has not been certified by peer review

Example data

This repository takes an .ns6 file recorded from 32 channel Plexon V-Probes acutely penetrated into Macaque V1. Example data is freely availabley upon request: [email protected].

Instructions

run LaminarLabeling in MATLAB Figures generated show multi-unit-activity, local-field-potentials, current-source-density, and power-spectral-density measures across laminar depth to evoked visual potentials (flashes) Estimated depth measures are based on the gamma-beta cross in mean power-spectral-density, as discussed in the manuscript.