Ramón Martínez-Cancino

According to our database, Ramón Martínez-Cancino authored at least 10 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

The open EEGLAB portal Interface: High-Performance computing with EEGLAB.

Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig

NeuroImage, 2021

Tools for Importing and Evaluating BIDS-EEG Formatted Data.

Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril Pernet, Subha Sivagnanam, Kenneth Yoshimoto, Russ Poldrack, Amit Majumdar, Scott Makeig

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?

Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig

Entropy, 2020

Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research.

Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale, Dave Nadeau, Martin Kandes, Trevor Petersen, Dung Truong, Ramón Martínez-Cancino, Arnaud Delorme, Scott Makeig, Amit Majumdar

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Computing Phase Amplitude Coupling in EEGLAB: PACTools.

Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

Trial-by-trial source-resolved EEG responses to gait task challenges predict subsequent step adaptation.

Johanna Wagner, Ramón Martínez-Cancino, Scott Makeig

NeuroImage, 2019

Measuring transient phase-amplitude coupling using local mutual information.

Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig

NeuroImage, 2019

The Open EEGLAB portal.

Arnaud Delorme, Amitava Majumdar, Subhashini Sivagnanam, Ramón Martínez-Cancino, Kenneth Yoshimoto, Scott Makeig

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018

Improving Classification Accuracy in Cortical Surface Recordings Using ICA-Based Features.

Stephen Estrin, Ramón Martínez-Cancino, Scott Makeig, Vikash Gilja

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2010

Dynamical Mean Field Model of a Neural-Glial Mass.

Roberto C. Sotero, Ramón Martínez-Cancino

Neural Comput., 2010