SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals

Abstract Neuronal signals generally represent activation of the neuronal networks and give insights into brain functionalities. They are considered as fingerprints actions their processing across different structures brain. These recordings generate a large volume data that susceptible to noise artifacts. Therefore, review these ensure high quality by automatically detecting removing artifacts is imperative. Toward this aim, work proposes custom-developed automatic artifact removal toolbox named, SANTIA (SigMate Advanced: Novel Tool for Identification Artifacts in Signals). Developed Matlab, an open-source applies neural network-based machine learning techniques label train models detect from invasive known local field potentials.