Slashdot Mirror


Robot Controlled By Rat Brain

kkleiner writes "Kevin Warwick, once a cyborg and still a researcher in cybernetics at the University of Reading, has been working on creating biological neural networks that can control machines. He and his team have taken the brain cells from rats, cultured them, and used them as the guidance control circuit for simple wheeled robots. Electrical impulses from the bot enter the batch of neurons, and responses from the cells are turned into commands for the device. The cells can form new connections, making the system a true learning machine."

4 of 170 comments (clear)

  1. Misleading title should say "... Rat Brain Cells" by chemicaldave · · Score: 5, Informative

    Brain cells, and an entire brain (especially a mammal's) are two separate beasts.

  2. Guy Ben-Ary was doing this five years ago by ChrisCampbell47 · · Score: 4, Informative

    Guy Ben-Ary is an artist who did a residency at the SymbioticA Research Lab at the University of Western Australia and then at the Potter Lab at Georgia Tech. During that time he created a system where a culture of rat brain neurons controlled a robotic pen controller to draw "art". Further, the two components (brain and arm) were geographically separated and communicated across the internet.

    MEART: The Semi Living Artist

    http://web.mit.edu/shkolnik/www/meart/

    http://www.fishandchips.uwa.edu.au/

  3. Re:Sentient cells? by EdZ · · Score: 5, Informative

    It's a SLNN (Self-Learning Neural Network) with actual neurons rather than virtual ones. You don't 'program' the cells, you provide inputs and 'reward' the correct output to those inputs, and let the neurons iteratively learn the correct weights in between.

  4. Re:Robot Controlled by Rat Brain by slim · · Score: 4, Informative

    I followed some links. http://journals.pepublishing.com/content/b31654739h7nk726/

    The cells are harvested from a rat foetus. They're grown in a special vessel, where they're in contact with an array of electrodes. They spontaneously arrange themselves into a neural network. The difficult part is training that network to do anything useful.