other writings
   
 
     
 
Dr Moore's research has continued to enjoy media attention, including the following interviews and stories:
Dr Moore continued serving as editor of the IEEE Technical Council on Software Engineering column of IEEE Software. My columns appear in alternate issues for the year.
Interviewed by Ingrid Wickelgren of Science, for an article entitled “Tapping the Mind”, which appeared in the Jan 24 2003 issue (Vol 299). My research is described and I am quoted.
MIT Technology review May 2003 (?) mentions my work on the Neural Internet “BrainBrowser”.
Interviewed by Paul Young of KBX Radio Los Angeles News about the Neural Internet project on May 23 2003, aired May 24 2003.
Contacted by Darren Bovair of Canadian Broadcasting Corp (CBC) TV for a documentary on brain computer interfaces May 2003.
Interviewed by Technology Research News, Eric Smalley, Editor April 2003.
The GSU Brainlab recently hosted a group of high school students who visited us during a field trip. Please see http://bugbrain.org/ION/BrainLab.htm for pictures and a description of this visit.
Appeared as a featured researcher on the RCB and CIS websites.
View Dr Brendan Allison's slideshows and papers below:

Slideshows:

EEG-intro: This is a slideshow developed for a local science expo called BrainsRule! It is a simple introduction to brainwaves meant for the general public.

talk-forBrainsRule: This is another slideshow shown at the BrainsRule! expo. This is an easy overview of BCIs, including a couple examples of BCIs and short video clips of working BCIs! It is meant for the general public.

hard-version: This is a more in-depth version of the BCI talk for BrainsRule! It contains more slides, more text, and more technical detail. It is meant for anyone, but will take longer to read.

bza-thesistalk03-long: This is the slideshow Dr. Allison used during his thesis defense.

Papers:

Thesis-entire-1.7: Dr. Allison's Ph.D. thesis. Chapter 1 is an intro to BCIs. Chapter 2 reviews relevant neuroscience. Chapter 3 is a review of BCIs. The remaining chapters describe the research projects conducted in the thesis.

Thesis-entire-1.8: This is nearly identical to the above file, with a few minor updates.

Allison and Pineda '03 - IEEE: This is a recent paper from Dr. Allison on BCIs. It is based on the second study of Dr. Allison's thesis (chapter 5).

PLEASE SEE BCI.UCSD.EDU FOR MANY MORE FILES ABOUT BCIS!!
THIS WEB PAGE WILL BE UPDATED SOON WITH MORE FILES AS WELL - PLEASE CHECK BACK!

  Class Related:

Course Syllabus: This syllabus applies to the CIS 8390 course that Dr. Allison is teaching during summer 2004 at GSU. Syllabi for the BCI class taught last year at UCSD are available upon request.

Wolpaw et al. (1991): This is the first published paper about mu BCIs. It is required for week 2.

Wolpaw et al (1994): This is the first published paper about 2 dimensional mu BCIs. It is required for week 2.

Wolpaw et al. (2002): This is the only published review of BCIs. It describes the key parts of any BCI (operating system including application, signal acquisition, feature extraction, translation algorithm) and the five types of BCIs (P300, mu, SSVEP, SCP, implanted). This is required reading for week 1.

Wickelgren (2003): This is a short article from Science magazine describing some different types of BCIs and their application as communication systems for locked in users. It is required for week 1.

Allison PhD thesis (2003): Chapter 2 of this thesis is required for week 1. This chapter provides an introduction to how EEGs work and how they can be applied to BCIs. You do not need to memorize details such as the minutiae of section 2.5.1, but should be familiar with different types of EEG activity that could be used in BCIs.

Schalk et al. (2004): This is required for week 1. It presents BCI2000, the software platform used by many BCI labs.

Wolpaw et al. (2003): This is a brief review of the research program at the Wolpaw lab as of last year. It presents cutting edge research in mu BCIs. It is required for week 2.

Pfurtscheller et al. (2003): This is a brief review of the research program at the Pfurtscheller lab as of 2003. It presents cutting edge research in mu BCIs. It is required for week 2.

Blankertz et al. (2003): This presents a recently held BCI data analysis competition. It shows several types of BCI data and which pattern recognition approaches were most effective. It is required for week 2.

Kostav and Polak (2000): This very short article is also required for week 2. It presents a somewhat different type of 2D mu BCI.

Scherer et al (2004): This is a short article from the Pfurtscheller lab. It presents a virtual keyboard controlled by 2D mu activity. It is required for week 2.

Birch et al (2003): This is required for week 2. It presents an overview of research at the Neil Squire Foundation, which has a mu based switch.

*** ADDITIONAL READINGS FOR WEEK 2 WERE HANDED OUT IN CLASS, AS ELECTRONIC COPIES ARE NOT AVAILABLE. THIS WAS KALCHER ET AL. (1996). ***

Obermaier et al. (2003): The above paper (Scherer et al 2004) is an extension of this paper, which presents a menu based speller rather than a virtual keyboard. It is recommended for week 2.

Muller et al. (2003): This demonstrates a telemonitoring system that allows researchers to modify various BCI parameters from remote locations. It is recommended for week 2.

McFarland et al. (2003): This is recommended for week 2. It presents issues in optimizing information transfer rates, and the results recap an important point: different subjects often work best with different parameters.

 

Week 3 readings:

Farwell and Donchin (1988): This is required for week 3. It is the first paper about P300 BCIs.

Donchin et al. (2000): This is required for week 3. It is a follow up to the Farwell and Donchin '88 paper handed out in class. It explores the use of a discrete wavelet transform (DWT).

Bayliss and Ballard (2000): This is required for week 3. It presents a P300 BCI used in a virtual driving simulator.

Bayliss (2003): This is required for week 3. It presents a P300 BCI for selecting icons that could be used to send various commands in an apartment setting.

Allison and Pineda (2003): This is required for week 3. It shows the relationship between set size and ERP measures, performance, and user factors.

Kaper et al (2004): This is required for week 3. It describes a pattern classification approach called an SVM, or support vector machine, which is a type of neural network. It did well with P300 data.

Xu et al. (2004): This is required for week 3. It describes an ICA based approach to categorizing P300 data.

Green and Bavelier (2003): This is recommended for week 3. It doesn't have P300s or any EEGs, but suggests that video game players would have different EEGs than healthy subjects. This was also found in Allison's PhD thesis.

Allison et al. (2002): This is a conference poster presenting the first and second studies of Allison's thesis. The second study presents the same material as Allison and Pineda (2003). It is recommended for week 3.

 

Middendorf et al. (2000): This is required for week 3. It presents a monitor-based SSVEP system and a few cool applications for it.

Gao et al. (2003): This is required for week 3. It describes an SSVER apparatus with 48 LEDs.

Gao et al. (2002): This is recommended for week 3. In it, subjects use a monitor based SSVEP mechanism to send a phone number and spell.

*** ADDITIONAL READINGS FOR WEEK 3 WERE HANDED OUT IN CLASS, AS ELECTRONIC COPIES ARE NOT AVAILABLE. THESE WERE VIDAL (1977), SUTTER AND TRAN (1992), AND TWO 1995 RESNA PAPERS FROM MACMILLAN'S GROUP  ***

Week 4 readings:

Birbaumer et al. (1999): This is required for week 4. The famous Nature paper shows a letter written by a locked in patient using the TTD.

Birbaumer et al. (2003): This presents an overview of the Birbaumer lab's BCI (called the TTD, or thought translation device) as of 2003. It is required for week 4.

Hinterberger et al (2004): This paper lays out the theoretical basis for a combined fMRI/EEG based BCI. It is required for week 4.

Schalk et al (2000): This paper shows the presence of error activity in BCI users' brain activity after a mistake. It does not use this in a BCI, but suggests that it is possible. It is required for week 4.

Parra et al (2003): This is the first and only paper in which ERNs were used to improve BCI performance. It is required for week 4.

Kubler et al. (2002): This paper shows that TMS (transcranial magnetic stimulation) can influence SCPs. It is recommended for week 4.

 

Week 5 readings: The week 5 readings are the slideshows, below, from the two guest lectures on Tuesday, July 13. You are also required to see Spiderman 2, since the class voted that this would be the BCI movie of interest.

Week 6 readings:

Kennedy et al (2000): In this paper, locked in patients used an implanted BCI to control a virtual keyboard. It is required for week 6.

Wessberg et al (2000): This shows monkeys controlling a robot arm in 1D and 3D. It is required for week 6.

Taylor et al (2002): This paper compares performance of an implanted BCI used to drive a cursor vs. one to drive a robot arm. It is required for week 6.

Kennedy et al (2004): This shows a successful BCI driven by local field potentials (LFPs). It is required for week 6.

Leuthardt et al (2004): This is another recent paper showing a successful BCI driven by local field potentials (LFPs). It is required for week 6.

Carmena et al (2003): This paper shows an implanted BCI that enables monkeys to make both reaching and grasping movements. It is recommended for week 6.

Keirn and Aunon (1990): This is required for week 6. It was the first paper to explore different mental tasks that could be used in BCIs and suggest that they may be useful for a communication system.

Millan et al (2004): In this paper, two human subjects moved a robot around a maze using a mental task BCI. This is required for week 6.

Penny et al (2000): This paper showed an online MT BCI for cursor control. It is required for week 6.

Weiskopf et al (2004): This paper suggests that an online fMRI BCI based on mental tasks could be feasible. You do have to know this fact. Otherwise, this is recommended reading for week 6.

 

Also...

BCI movie vote: Prepare to vote for the BCI themed movie to be shown during the "BCI and Culture" lecture on July 15! All enrolled students get 2 votes. Students who are sitting in may not vote, but are free to lobby those who can vote.

Practice midterm questions: Some of these cover lecture material not yet presented.

Sample short paper: This is an example of a short paper in response to one of the required readings.

Sample project presentation: This is a presentation from a student in the BCI class last year. It is presented here with his permission.

Midterm with answer key: This also includes some comments on how people did on the questions and a breakdown of the scores.

Post midterm comments: Various comments on grades, the plan for next week, and the term project.

Last year's midterm: The complete and unedited midterm from last year.

Practice final exam questions: Includes comments on the final and last year's midterm.

Final exam with answer key: As promised, it is up just after the final exam. *** The last page of this key includes the final exam grades as well as the midterm grades. Since some of the projects are not yet turned in, I am not going to put project grades up yet. Final exams may be picked up at the GSU BrainLab***

-Brendan 7-30-04 10:00 AM

 

Intro to BCIs: This was the slideshow used during the first class lecture. It provides an overview of BCIs, why they are needed, some cultural references to BCIs, BCI system architecture from the Wolpaw et al 2002 article listed above, examples of P300 and mu BCIs, a quick overview of other BCIs, comments about challenges for future BCI designers and mainstream BCI applications, and sources of more information about BCIs.

Intro to EEGs: This was one of the slideshows used during the second class lecture. It provides an introduction to neurons, why neural activity produces detectable electrical activity, micro and macro electrodes, a typical EEG session, EEGs vs. ERPs, some examples of brainwaves, other imaging techniques, a brief history of EEGs, and some brainwave applications.

BCIs vs. lab EEGs: This was shown in the third class lecture. It describes different types of noise typically seen in EEG recordings. It also discusses some means to reduce noise in both laboratory and field recordings.

Class presentation guidelines: This was first shown in the second class lecture. It contains some details about the term project and class presentation to present that project.

BCI Ethics: This was shown in the third class lecture. It presents some ethical questions for BCI research.

Mu BCIs: This was shown during the third and fourth class lectures.

P300 BCIs: This was shown during the fourth and fifth class lectures.

SSVER BCIs: This was shown during the sixth class lecture.

SCP BCIs: This was shown during the seventh class lecture.

ERNs and BCI applications: This was shown during the seventh class lecture.

Kennedy slideshow: This is the slideshow from the Kennedy lecture. Dr. Kennedy gave a guest lecture during the eighth class lecture. The last slide includes comments on what you need to know.

GSR lecture: This is the slideshow from the guest lecture from Umang Dua, who gave a talk during the ninth class lecture. The last slide includes comments on what you need to know.

Assistive technologies: This is the slideshow from the guest lecture from Adriane Davis, who gave a talk during the ninth class lecture. The last slide includes comments on what you need to know.

BCI Terms: This was shown during the eleventh class lecture.

Invasive BCIs: This was shown during the eleventh class lecture.

Mental task BCIs: This was shown during the twelfth class lecture.

BCI-like systems: This will be shown during the thirteenth and final class lecture.

Future directions in BCIs: This will be shown during the thirteenth class lecture. It includes a discussion about BCI applications.