The Neuromorphics Lab is featured in the Fall 2011 edition of the Boston University Arts&Sciences Magazine. Courtney Humphries (photographs by Cydney Scott) did a super job in capturing the essential research core ideas of the NL, and putting together a nice article that features many of the ongoing research projects. You can find the online article here, or the PDF of the magazine here.
October 31, 2011 |
October 18, 2011 |
The following NSF Science Nation features CELEST work on BCI, among which is the work of the Neuromorphics Lab on adaptive robotics and BCI. The work, a collaborative effort between several CELEST labs, has been carried out primarily by Byron Galbraith, with Sean Lorenz providing SSVEP-based BCI algorithms for online interpretation of EEG data. Read the rest of this entry »
October 7, 2011 |
My joint work with Ajay Joshi, Florian Raudies, and Schuyler Eldridge, all members of the Neuromorphics Lab, has been featured on the Boston University’s ECE Spotlight website. From the spotlight: "Mobile land and aerial robots collect large quantities of data generated by sensors, but the processing, evaluation, and analysis of all this data is restricted by either the limited bandwidth available to broadcast this data to offline computing resources or the limited computing power on the mobile robot. Read the rest of this entry »
September 2, 2011 |
Can a non-invasive brain-machine interface (BMI) be developed that allows a user the ability to direct a semi-autonomous robot to perform tasks through thought alone? If so, this would provide the foundation for a large number of potential applications ranging from rehabilitative to commercial to military. The following video, realized by Sean Lorenz and Byron Galbraith, shows the progress of the Neuromorphics Lab in this project. Read the rest of this entry »
August 13, 2011 |
Today I published online a brief essay, originated by the work during the DARPA SyNAPSE project, describing our early effort in the study of alternative computing schemes that will make use of massive memristive-based devices coupled with low-power CMOS processes to efficiently compute neural activation and learning in novel computing devices. The answer was to couple fuzzy inference with dense memristive memory. This combination can provide extensive power and silicon real estate savings while maintaining a high degree of accuracy in the resulting precision of the computations.The essay has been published on Neurdon. Please click here to read it.
August 3, 2011 |
In an article entitled "Body Conscious", Virginia Hughes features my lab in the 8/20/2011 edition of New Scientist. The article focuses on the case of embodiment, namely the idea that true intelligence needs a body and an environment where artificial and robotic agents develop and learn to perform adaptive tasks. The article can be found free online on Financial Tech Spotlight or New Scientist (pay site), has also been picked up by the prestigious Slate.com.
The NL team working on this project: Anatoli Gorchetchnikov, Jasmin Leveille, Gennady Livitz, Heather Ames, Ben Chandler, Sean Patrick, Ennio Mingolla, Max Versace.
July 25, 2011 |
July 18, 2011 |
July 11, 2011 |
June 3, 2011 |
This article dedicated to the Lab just appeared on the NSF sponsored site live science. LiveScience is a trusted and provocative source for highly accessible science, and their articles are regularly featured on the web sites of MSNBC.com, Yahoo!, the Christian Science Monitor and others.