• Home
  • DARPA SyNAPSE
  • Business-minded
  • Compute Me
  • Brainplug
  • Biophys-Ed

Why simulating a cat when we can simulate a human (or even more!)

Massimiliano Versace | November 26, 2009

eugenebrainWhen 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 »

Comments
No Comments »
Categories
Compute Me, DARPA SyNAPSE
Tags
IBM, Izhikevich, spiking neurons
Comments rss Comments rss
Trackback Trackback

Cat fight over blue brain

Massimiliano Versace | November 24, 2009

cat_fightIn 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!

Comments
4 Comments »
Categories
Compute Me, DARPA SyNAPSE
Tags
cat brain, DARPA SyNAPSE, IBM, markram, modha
Comments rss Comments rss
Trackback Trackback

The subtle difference between simulating brains and number of cells

Massimiliano Versace | November 19, 2009

091019122647-largeIEEE 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 »

Comments
No Comments »
Categories
Compute Me, DARPA SyNAPSE
Tags
DARPA, Dharmendra Modha, IBM, rat brain, supercomputer
Comments rss Comments rss
Trackback Trackback

What makes neurons excited?

Massimiliano Versace | November 17, 2009

epsp_ipsp1Ever wondered what neurons do to each other? How does a signal generated in one neuron cause a reaction in another neuron? Neurons behavior is fairly complex (see this post), but with some simplification we can begin to understand, and model, how neurons affect each other and ultimately determine information processing in the brain. Read the rest of this entry »

Comments
No Comments »
Categories
Biophys-Ed, DARPA SyNAPSE
Tags
Excitatory Postsynaptic Potentials, Inhibitory Postsynaptic Potentials, spike-based models, spiking neurons
Comments rss Comments rss
Trackback Trackback

Jump to

About Neurdon
About SyNAPSE
Contact
Contributors
Editors
Glossary
Neurdon Merch

Tags

adaline adaptive resonance theory artificial intelligence cat brain consciousness continous firing neurons controller cortical column DARPA DARPA SyNAPSE Dharmendra Modha Excitatory Postsynaptic Potentials global workspace theory Greg Snider HP HRL IBM Inhibitory Postsynaptic Potentials it Izhikevich law and robotics learning markram MATLAB MATLAB code Melanie-Mitchell memristor memristors Minsky modha modular robotics money Moore's Law Narayan Srinivasa neuromorphic technology object recognition poggio rat brain rate-based models Ray Kurzweil riesenhuber robot robotics robotic weapons sensory fusion serre software spike-based models spiking neurons Stanley Williams stdp supercomputer super computer synaptic plasticity time as supervisor

Blogroll

  • CELEST
  • CNS Tech Lab
rss Comments rss valid xhtml 1.1 design by jide powered by Wordpress get firefox