The neuroelectric research group was formed with the objective of developing and implementing an original research project regarding the interaction between technology and the brain.
This webpage will serve as a central repository of information for group members and provide information on the progress of the group's projects.
Project Status: Currently seeking EEG equipment and lab space to implement proof-of-concept.
Project Topic: Can planned motor action be used as the basis for a
natural-language EEG BCI?
Next meeting: Tuesday, 7/14, 6:00 pm, Cory Lounge
Webpage Status: Last updated 4:00 pm 4/28/04
New Information! The group presented its work at the Berkeley-Stanford Vertex Innovator's Challenge. Poster and abstract added to files.
New Information! Use library-level journal access from home (required for certain links and papers) - Instructions
Project Files
Project Timeline (to be determined)
Presentations
Skeletal Presentation to Dr. Budginer - review and update!
Survey of Current Research in Neuroengineering - PowerPoint, Anand
Brainwaves and Neural Electrical Output - PowerPoint, Anand
Reference Papers (mostly PDF)
Interfacing Techniques (Anand)
January 2003 Science Review of BCI - "Tapping the Mind"
A very thorough layperson's article discussing the current state of BCI research. Interesting to read and highly recommended. It also mentions useful information about neural electrodes and their present limitations.
April 2003 Review of EEG-based BCI (external link, requires proxy access)
It would've saved us a lot of time to read this article when we started. It discusses using motor imagery to control BCIs and spells out the questions that have yet to be answered, many of which could be research projects in their own right.
Abstract: Brain–computer interface (BCI) technology relies on the ability of individuals to voluntarily and reliably produce changes in their electroencephalographic (EEG) activity. The present paper reviews research on cognitive tasks and other methods of generating and controlling specific changes in EEG activity that can be used to drive BCI systems. To date, motor imagery has been the most commonly used task. This paper explores the possibility that other cognitive tasks, including those used in imaging studies, may prove to be more effective. Other factors which influence performance are also considered in relation to selection of tasks, as well as training of subjects.
Overview of Brain-Computer Interfaces
Outdated. From the first international meeting of BCI researchers.
Thought Translation Device for Disabled Patients
Discusses the use of SCP (Slow Cortical Potentials) and operant feedback to develop control of a cursor. The neat part of this method is that the subject doesn't need to visualize or think about anything else besides the cursor, but learns to control the cursor directly.
Kennedy et al's oft-cited paper discusses the first permanent communication electrode implanted into a human brain. This type of electrode is the only one that's yet been implanted into a human brain. This special type of electrode used growth factors to foster connections with surrounding neurons.
A Virtual Reality Testbed using the P300 Signal
Bayliss, et al. This paper discusses using the P300 EEG signal
Developing Neuromotor Control of a Prosthesis
This 2000 paper declares that the team has taken the first step in developing a multi-electrode-based BCI system.
Duke Internet-based Primate Robot Arm Experiment
Rat Thought-Controlled Robot Arm
Chapin's landmark work with planned motor action in a rat that got us started on this project.
Primate-based Thought-Control of a Pointer
Imaging Neural Activity
Overview of Imaging Techniques (Laurent, JPGs)
Dr. Thomas Budinger's Overview of Imaging Methods (external link)
Language and Sign Language in the Brain
Neurology of Language (Laurent, JPGs)
Coarticulation in Fluent Fingerspelling (Maryam)
Neural Systems for Sign Language
Imaging Abilities in Hearing and Deaf Signers
Neural Systems Underlying Lexical Retrieval for Sign Language
Brain Activity during Spoken and Signed Language
Motor Mapping Techniques
Unique Recognition of Hand Shape in Signing
Mapping Motor Signals for the Development of Neuromotor Control of a Prosthesis
Brain Activity during Imagined Actions/Inner Speech
Archived References - to be restored soon.