• HOME
  • NEWS
    • BIOENGINEERING
    • SCIENCE NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • FORUM
    • INSTAGRAM
    • TWITTER
  • CONTACT US
Wednesday, March 3, 2021
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
    • BIOENGINEERING
    • SCIENCE NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • FORUM
    • INSTAGRAM
    • TWITTER
  • CONTACT US
  • HOME
  • NEWS
    • BIOENGINEERING
    • SCIENCE NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • FORUM
    • INSTAGRAM
    • TWITTER
  • CONTACT US
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Bioengineering

Chips that mimic the brain

Bioengineer by Bioengineer
September 19, 2013
in Bioengineering
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Novel microchips imitate the brain’s information processing in real time. Neuroinformatics researchers from the University of Zurich and ETH Zurich together with colleagues from the EU and US demonstrate how complex cognitive abilities can be incorporated into electronic systems made with so-called neuromorphic chips: They show how to assemble and configure these electronic systems to function in a way similar to an actual brain.

No computer works as efficiently as the human brain – so much so that building an artificial brain is the goal of many scientists. Neuroinformatics researchers from the University of Zurich and ETH Zurich have now made a breakthrough in this direction by understanding how to configure so-called neuromorphic chips to imitate the brain’s information processing abilities in real-time. They demonstrated this by building an artificial sensory processing system that exhibits cognitive abilities.

New approach: simulating biological neurons
Most approaches in neuroinformatics are limited to the development of neural network models on conventional computers or aim to simulate complex nerve networks on supercomputers. Few pursue the Zurich researchers’ approach to develop electronic circuits that are comparable to a real brain in terms of size, speed, and energy consumption. “Our goal is to emulate the properties of biological neurons and synapses directly on microchips,” explains Giacomo Indiveri, a professor at the Institute of Neuroinformatics (INI), of the University of Zurich and ETH Zurich.

The major challenge was to configure networks made of artificial, i.e. neuromorphic, neurons in such a way that they can perform particular tasks, which the researchers have now succeeded in doing: They developed a neuromorphic system that can carry out complex sensorimotor tasks in real time. They demonstrate a task that requires a short-term memory and context-dependent decision-making – typical traits that are necessary for cognitive tests. In doing so, the INI team combined neuromorphic neurons into networks that implemented neural processing modules equivalent to so-called “finite-state machines” – a mathematical concept to describe logical processes or computer programs. Behavior can be formulated as a “finite-state machine” and thus transferred to the neuromorphic hardware in an automated manner. “The network connectivity patterns closely resemble structures that are also found in mammalian brains,” says Indiveri.

Chips can be configured for any behavior modes
The scientists thus demonstrate for the first time how a real-time hardware neural-processing system where the user dictates the behavior can be constructed. “Thanks to our method, neuromorphic chips can be configured for a large class of behavior modes. Our results are pivotal for the development of new brain-inspired technologies,” Indiveri sums up. One application, for instance, might be to combine the chips with sensory neuromorphic components, such as an artificial cochlea or retina, to create complex cognitive systems that interact with their surroundings in real time.

Story Source:

The above story is based on materials provided by University of Zurich, vıa sciencedaily.

Share12Tweet7Share2ShareShareShare1

Related Posts

blank

Robo-fish

September 19, 2016
blank

Mice born from ‘tricked’ eggs

September 17, 2016

UCLA researchers use stem cells to grow 3-D lung-in-a-dish

September 16, 2016

Sixteen MIT grad students named Siebel Scholars for 2017

September 16, 2016

Leave a Reply Cancel reply

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

POPULAR NEWS

  • IMAGE

    Terahertz accelerates beyond 5G towards 6G

    661 shares
    Share 264 Tweet 165
  • People living with HIV face premature heart disease and barriers to care

    83 shares
    Share 33 Tweet 21
  • Global analysis suggests COVID-19 is seasonal

    38 shares
    Share 15 Tweet 10
  • HIV: an innovative therapeutic breakthrough to optimize the immune system

    36 shares
    Share 14 Tweet 9

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Tags

BiologyInfectious/Emerging DiseasesMedicine/HealthClimate ChangeGeneticsPublic HealthTechnology/Engineering/Computer ScienceCell BiologycancerMaterialsChemistry/Physics/Materials SciencesEcology/Environment

Recent Posts

  • University students with special educational needs highlight the benefits of e-assessment
  • Key steps discovered in production of critical immune cell
  • Researchers discover SARS-CoV-2 inhibitors
  • ‘Target identified’: teaching a machine how to identify imperfections in 2D materials
  • Contact Us

© 2019 Bioengineer.org - Biotechnology news by Science Magazine - Scienmag.

No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

© 2019 Bioengineer.org - Biotechnology news by Science Magazine - Scienmag.

Welcome Back!

Login to your account below

Forgotten Password?

Create New Account!

Fill the forms below to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In