Conduct research on the effect of different proportions of visual target and non-target stimulations on the brain, through data analysis on event related potential collected.

Materials for the course "A Hands-On Introduction to Event-Related Potentials" developed and taught by Mariella Paul

Adaptive Common Spatio-Temporal Pattern (ACSTP) for Event-Related Potential (ERP) analysis.

Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification

Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)

Processing and analysis code for Bowen, H. J., Fields, E. C., & Kensinger, E. A. (2019). Prior emotional context modulates early event-related potentials to neutral retrieval cues. Journal of Cognitive Neuroscience, 31(11), 1755-1767. https://doi.org/10.1162/jocn_a_01451

MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

Extract the independant sources with Composite Approximate Joint Diagonalization (CAJD) for linear/bilinear data models

Data and analysis scripts associated with the manuscript: Native word order processing is not uniform: An ERP-study of verb-second word order. This paper was accepted for publication in Frontiers in Psychology - Language Sciences on Feb 3, 2022; DOI: 10.3389/fpsyg.2022.668276

CS198-96: Intro to Neurotechnology @ UC Berkeley

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Data from 11 subjects that took part in a Human-Agent Collaboration experiment. The name of the paper is "Brain computer interface to distinguish between self and other related errors in human agent collaboration" published in Scientific Reports.

Website for the NeuroCognitive Imaging Lab, directed by Dr. Aaron J. Newman at Dalhousie University.

regression-based waveform estimation analysis of Delogu, Brouwer, and Crocker (2019, Brain and Cognition)

regression-based waveform estimation analysis of Delogu, Brouwer, and Crocker (2021, Brain Research)

Materials and code for an EEG study on the influence of semantic information on visual perception

regression-based ERP waveform estimation (development repository)

regression-based waveform estimation analysis of Delogu, Brouwer, and Crocker (2019, Brain and Cognition)

regression-based waveform estimation analysis of Delogu, Brouwer, and Crocker (2021, Brain Research)