News
Dissertation Defense – Andrés F. Salazar-Gómez
Notice of Dissertation Defense
Andrés F. Salazar-Gómez
Candidate for the degree of Ph.D. in Computational Neuroscience
Title: ERROR-RELATED POTENTIALS FOR ADAPTIVE DECODING AND VOLITIONAL CONTROL
Friday, December 2, 2016
10am
CompNet Building Room B02
Boston University
Graduate Program for Neuroscience
677 Beacon Street
Boston
(Advisor: Professor Frank Guenther)
Article in Spectrum highlights lab’s autism research
Guenther lab research was highlighted in an article in Spectrum, titled, "Imaging study hints at compensation in verbal teens with autism". This article discusses a talk titled, Neural bases of language phenotypes in Autism Spectrum Disorder, given by Jennifer Segawa at this year's Society for Neuroscience conference in San Diego. This research was a collaboration between the Guenther lab at BU and Dara Monoach and colleagues at MGH.
Winners of Annual Flip Cup Competition!
Saul Frankford selected as NIH T32 Predoctoral Trainee
Saul Frankford has been selected as a predoctoral trainee for a Boston University Institutional Training Grant (T32) from the NIH/NIDCD. He will receive multidisciplinary training to prepare him for an academic career in communication sciences and disorders.
Correcting Robot Mistakes in Real Time Using EEG Signals
Lab member Andrés F. Salazar-Gómez worked on the paper titled, Error-related potential for human-robot interaction: Correcting Robot Mistakes in Real Time Using EEG Signals.
In this project we are using EEG signals to automatically detect errors made by a robot. Our work focuses on identifying Error-related Potentials (ErrP), EEG signals generated in response to an observed or executed error, to correct in real time a robot’s selection. Our results demonstrate the potential of ErrPs for seamless robotic control, and moves closer towards the goal of real time intuitive human-robot interaction.
This video is part of results submitted to the IEEE International Conference on Robotics and Automation (ICRA 2017) in the paper “Correcting Robot Mistakes in Real Time Using EEG Signals”.
Dissertation Defense – Spencer Torene
Notice of Dissertation Defense
Spencer Torene
Candidate for the degree of Ph.D. in Computational Neuroscience
Title: LEARNING AND ADAPTATION IN BRAIN MACHINE INTERFACES
Friday, September 23, 2016
11am
CompNet Building Rm B02
Boston University
Graduate Program for Neuroscience
677 Beacon Street.
(Advisor: Professor Frank Guenther)
Dissertation Defense – Byron Galbraith
Notice of Dissertation Defense
Byron Galbraith
Candidate for the degree of Ph.D. in Computational Neuroscience
Title: A BRAIN-MACHINE INTERFACE FOR ASSISTIVE ROBOTIC CONTROL
Monday, August 31, 2016
3pm
CompNet Building Rm B02
Boston University
Graduate Program for Neuroscience
677 Beacon Street.
(Advisor: Professor Frank Guenther)
Professor Guenther’s book is published by MIT Press!
Professor Frank Guenther's book, Neural Control of Speech, has been published and ready to order by MIT Press. Check it out.
WGBH lecture series presentation of Professor Guenther, November 2015
Frank Guenther was recently featured on WGBH discussing his work with people suffering from locked-in syndrome as well as the complexities of both normal speech and disordered speech.
http://forum-network.org/lectures/how-brain-produces-language-and-what-can-go-wrong/
Dissertation Defense – Emily Stephen
Notice of Dissertation Defense
Emily Stephen
Candidate for the degree of Ph.D. in Computational Neuroscience
Title: CHARACTERIZING DYNAMICALLY EVOLVING FUNCTIONAL NETWORKS IN HUMANS WITH APPLICATION TO SPEECH.
Monday, August 3, 2015
10am
CompNet Building Rm B02
Boston University
Graduate Program for Neuroscience
677 Beacon Street.
(Advisor: Professor Frank Guenther)