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

The first steps of a neuromorphic chip

Massimiliano Versace | June 28, 2010

Neuromorphic technology has several applications, ranging from pattern recognition to robotics. One of the most interesting application domain is neural prosthetics. This is a fascinating twist on the idea of “borrowing” from biology: designing chips inspired by the nervous systems, which are then implanted back in a living organism to restore lost functions.

Ralph Etienne-Cummings, from Johns Hopkins University, was recently a guest at ICCNS 2010 in Boston, where he gave a very interesting overview of the state of the art in neuromorphic computing. In their lab, they design biologically Very Large Scale Integrated (VLSI) technology used to extract information about the environment, study how these systems can be hosted onto robots, and develop brain-machine interfaces and neural prosthesis devices, specifically spinal and cortical prosthesis devices and robotic systems to restore function after injury and for human augmentation.

Ralph is on CNN, explaining how neuromorphic chips mimicking locomotion can one day help patients regain their ability to walk. The video is available here.

Categories
Brain Plug
Tags
neuromorphic technology
Comments rss
Comments rss
Trackback
Trackback

« Watson will beat you at Jeopardy What if the idea of the memristor is wrong? »

Leave a Reply

Click here to cancel reply.

Jump to

About Neurdon
About SyNAPSE
Contact
Contributors
Editors
Glossary
Neurdon Merch

Tags

adaline adaptive resonance theory arm processor artificial intelligence auditory cat brain cochlear implant consciousness continous firing neurons controller cortical column DARPA DARPA SyNAPSE Dharmendra Modha events Excitatory Postsynaptic Potentials FACETS flas flash memory global workspace theory Greg Snider hearing HP HRL Hynix IBM Inhibitory Postsynaptic Potentials iSLC it Izhikevich law and robotics learning Leon Chua markram MATLAB MATLAB code Melanie-Mitchell memristor memristors Minsky modha modular robotics money Moore's Law Narayan Srinivasa neural engineering neural prosthesis neuromorphic technology NSF object recognition poggio rat brain rate-based models Ray Kurzweil riesenhuber robot robotics robotic weapons sensory fusion serre software SPICE model spike-based models spiking neurons Stanley Williams stdp super computer supercomputer synaptic plasticity talk time as supervisor vision

Blogroll

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