SigMate: A comprehensive software package for extracellular neuronal signal processing and analysis

This paper presents a comprehensive neuronal signal analysis and processing tool, `SigMate', developed in Matlab, incorporating the available standard tools and our in-house custom tools. The present features include, data visualization (2D and 3D), slow stimulus artifact removal (including baseline correction), noise characterization, file operations (file splitting, concatenation, and column rearranging), latency estimation in local field potentials (LFPs), current source density (CSD) analysis, determination of cortical layer activation order (CLAO) from LFPs and CSDs, spike detection, spike sorting, single sweep LFP sorting, EEG based brain-machine interfacing (BMI), neuronal simulation environment, and are gradually growing. This tool has been extensively tested using signals recorded by the standard electrodes as well as implantable EOSFETs (Electrolyte-Oxide-Semiconductor Field Effect Transistors) based multisite neural probes and will be made available to the community shortly.