In About SyNAPSE I characterized neuromorphic devices as the opposite of conventional Von Neumann processors. This is somewhat of a oversimplification, however. Modern processors are actually quite evolved from pure Von Neumann devices. They are dramatically more capable on virtually every computational workload than their heritage would suggest is possible. For neuromorphic devices to find any success in the marketplace, they’ll need to offer a significant performance gain against existing solutions, but with comparable or lesser power consumption and cost.

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Top Gun taught us that the best and brightest pilots can perform some amazing aerobatics.  Nobody seems surprised that a good pilot, with some practice, can move seamlessly from the flight maneuvers used on a Boeing 747 to those featured in Blue Angels shows.  While computer autopilots have performed well in commercial aircraft for some time, however, getting an electronic computer to pull a plane successfully through an aerobatic maneuver is almost impossible, and is thus a relatively new field of research. Read the rest of this entry »

One of the major themes in the SyNAPSE project is developing chips that can learn meaningful information, and preserve it over time. In other words: memristors can learn, but we need to ensure that they are stably learning something useful for the system they are embedded in.

Some help to solve this technological problem comes from neuroscience. The question of how can the cerebral cortex develop stable memories while at the same time incorporating new information through an organism lifetime has been a central theme in many research paper. The talk posted on Neurdon describes one of these approaches. Read the rest of this entry »

Replicators in Europe

In the 7th Framework Program of the European Community a project has started in 2008, in which modular robots are developed by many research parties in Europe (Universität Stuttgart, Universität Graz, Universität Karlsruhe, Scuola Superiore Sant’Anna, Sheffield Hallam University, Fraunhofer Gesellshaft, Institut Mikroelektronickych Aplikaci, Ubisense, Ceske Vysoke Uceni Technicke v Praze and Almende B.V., see http://www.replicators.eu) that go beyond the swarm mode and are able to form robot organisms.  Read the rest of this entry »

I came across a series of videos on Youtube of the 2008 UC Berkeley Synposium on memristors. As many of you know by now, Leon Chua published a seminal paper in 1971 on the missing basic circuit element, and in 1976, along with Sung-Mo Kang, he published another paper describing a large class of devices and systems they called memristive devices. Read the rest of this entry »

Marvin Minsky has decided to resuscitate AI from the 80’s ashes with a fresh $5M grant to support an MIT team in a “project to build intelligent machines”. More info here. I have strong doubts on Minsky’s approach, and the new Turing test: “can the computer read, understand, and explain a children’s book”. I would be satisfied with replicating the children…

Memristors is not a solo business. In a recent SyNAPSE-centric meeting, Robert Thijs Kozma brought up a very interesting post on the rapidly changing business landscape of memristors. A number of companies beyond Hewlett Packard, including AMD, Axon Technologies, Energy Conversion Devices, Micron Technologies, Samsung, and Sharp have been very active in researching, and patenting, memristor-based devices. An excellent outlook of the business and patent landscape around variations on the memristor theme can be found here.

When I read (and wrote about) the recent controversy between Modha and Markram, I had this inescapable déjà vu feeling….weird, where did I hear that somebody already simulated a “brain” of the scale of the human brain? Of course!…. Eugene Izhikevich, a very bright (and VERY funny) neuroscientist that, in 2007, visited our center CELEST. During that visit, he showed what at that time (in 2005, and may be up to today) was one of the “largest scale” neural simulation. Read the rest of this entry »

In my recent post, I commented on IBM’s announcement at the Supercomputing Conference (SC09) in Portland, Ore., that they had simulated a brain with the number of neurons and synapses present in a cat’s brain. It looks like the controversial statement of IBM being finally able to “simulate a cat’s brain” (or however their original statements has been distorted) has been stirring some more comments. Henry Markram, the leader of the Blue Brain project at EPFL, Lausanne, sent an open letter to IBM CTO Bernard Meyerson, along with several media (UK Daily Mail, Die Zeit, Wired, Discover, Forbes). One big question is: was Modha’s statement somehow distorted? Did he actually simply claim that IBM simulated a system that has the same number of neurons of a cat, as opposed to simulate “the cat’s brain?”. This is an important distinction. Anyway, Neurdons must know, so here it is! Enjoy!

IEEE Spectrum has published an interesting article titled “IBM Unveils a New Brain Simulator: A big step forward in a project that aims for thinking chips”. The post describes IBM’s Almaden Research Center latest simulation effort announced at the Supercomputing Conference (SC09), where they unveiled that “that they have created the largest brain simulation to date on a supercomputer. The number of neurons and synapses in the simulation exceed those in a cat’s brain; previous simulations have reached only the level of mouse and rat brains.” Read the rest of this entry »