The nth+1 book on how the brain works has appeared, this time at the hand of Ray Kurzweil. How many books have been written to date that claim to finally have cracked the brain, and promise that, for a mere $18.36, you can read it all? One too many... This FREE Neurdon article will save your next $20. Read the rest of this entry »
December 25, 2012|
November 24, 2012|
A new article on New scientist features Spikey, the new chip coming out of Karlheinz Meier's group. The University of Heidelberg, Germany, chip contains contains 400 "neurons". The original article (see link) describes the various networks the group was able to implement in the chip, which includes a variety of different circuits. Read the rest of this entry »
September 28, 2012|
Adapteva, a company that was on Neurdon's radar for a while, is launching their new Parallella project. The end goal is to make parallel computing, including the sort of massively parallel computing neural modelers need, both easy and cheap. And we like both... Read the rest of this entry »
August 13, 2012|
This recent book, part of the Springer Series in Cognitive and Neural Systems (Editors Robert Kozma, Robinson E. Pino, and Giovanni E. Pazienza), is one that may become part of Neurdons bookshelves. In "Advances in Neuromorphic Memristor Science and Applications", the main researchers behind the pioneering work on memristors and their applications to bio-inspired machine intelligence review the state of the art and predict trends. The Abstract: Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future. Read the rest of this entry »
July 26, 2012|
Future Tense is a series of documentaries exploring cutting-edge technologies that will dramatically change the world we live in. The July 1st, 2012 episode was focused on Artificial Intelligence. The documentary features also the work done in the Neuromorphics Lab. Watch the trailer here and the episode below. Read the rest of this entry »
June 18, 2012|
Charles Augustine at Intel's Circuit Research Laboratory in Hillsboro, Oregon, and a few of his colleagues unveil their design for a neuromorphic chip based on memristors and spin valves. Neurdons have heard this before... Once upon a time, in a galaxy far, far away.... Read the rest of this entry »
June 15, 2012|
If you want to design robots able to interact to the real world in a useful way, you will eventually bump into the problem of implementing robust object recognition, when by robust I mean able to recognize objects irrespective of (or at least able to tolerate variation in..) distance from the object, its orientation, illumination conditions, etc.
February 21, 2012|
A very interesting article just came out on on Mercury News with an interview to"HP Labs Director Prith Banerjee mentioning the latest HP Lab strategies and Cog Ex Machina, the software platform developed by HP Labs in collaboration with the Boston University Neuromorphics Lab. Full disclosure... I direct that lab! So yes, I may be biased... but read on. This gives some hints of what applications can come out of this platform. And we hope this is just the beginning!
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September 29, 2011|
On Friday, September 16, 2011 Boston University chartered a vibrant new center to house research in Computational Neuroscience and Neural Technology (CompNet). In addition to some new areas of emphasis CompNet will support many aspects of the research mission of the former Department of Cognitive and Neural Systems (CNS). The closing of the CNS Department affords an opportunity to reflect on an epoch through the lens of the Outstein symbol that came to be its de facto logo. On the left, the Outstein logo. Read the rest of this entry »
September 21, 2011|
The Computational Neuroscience PhD specialization of Boston University’s Graduate Program for Neuroscience provides students with a uniquely specialized curriculum that supplements core neuroscience coursework with advanced training in a wide array of computational methods for studying the nervous system and developing neuroscience-related technologies. Topics of study include: neural network modeling, neural dynamics, sensory, motor, and cognitive modeling, statistical modeling, sensory and motor prosthesis, brain-machine interfaces, neuroinformatics, neuromorphic engineering, and robotics. Coursework is chosen from the wide array of computational and neuroscience courses offered by the many departments and programs of the main Boston University campus and the BU School of Medicine. Students pursue their research interests in laboratories across the University and have the opportunity to combine hands on experimental research with highly sophisticated computational analysis.