News

Saul Frankford selected as NIH T32 Predoctoral Trainee

October 5th, 2016in News

Saul_Headshot-437x636Saul 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

September 28th, 2016in News

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

September 23rd, 2016in News

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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)

Torene Abstract 

Dissertation Defense – Byron Galbraith

August 31st, 2016in News

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)

Galbraith Dissertation

Dissertation Defense – Emily Stephen

August 3rd, 2015in News

estephen

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)

Stephen Dissertation

Scott Kuzdeba Wins IARPA’s INSTINCT Challenge!

November 18th, 2014in News

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NPL lab member, Scott Kuzdeba, along with collaborator Troy Lau of BAE Systems’ Adaptive Reasoning Technologies Group in Burlington, MA, won the INSTINCT (Investigating Novel Statistical Techniques to Identify Neurophysiological Correlates of Trustworthiness) challenge, which was the first public challenge issued by the The Intelligence Advanced Research Projects Activity (IARPA), within the Office of the Director of National Intelligence (ODNI).

Kuzdeba and Lau's winning solution, JEDI MIND (Joint Estimation of Deception Intent via Multisource Integration of Neuropsychological Discriminators), "used a combination of innovative statistical techniques to improve predictions approximately 15% over the baseline analysis", stated the press release from the INSTINCT Challenge.

To read the press release in full, click here.

Dissertation Defense – Mikhail Panko

March 20th, 2014in News

mikhail_panko

Notice of Dissertation Defense

Mikhail Panko
Candidate for the degree of Ph.D. in Computational Neuroscience

Title: DEVELOPING IMPLANT TECHNOLOGIES AND EVALUATING BRAIN-MACHINE USING INFORMATION THEORY

Wednesday, April 2, 2014
2pm
CompNet Building Rm B02

Boston University
Graduate Program for Neuroscience
677 Beacon Street.

(Advisor: Professor Frank Guenther)
Panko Abstract