Physical reservoir computing with FORCE learning in a living neuronal culture (video)


Publication/Creation Date
October 26 2021
Creators/Contributors
Hirokazu Takahashi (creator)
Yuichiro Yada (creator)
Shusaku Yasuda (creator)
The University Of Tokyo (contributor)
Media Type
Video
Persuasive Intent
Academic
Discursive Type
Inventions
Description
Supplementary video to the journal article "Physical reservoir computing with FORCE learning in a living neuronal culture" published in Applied Physics Letters. The video shows a mobile robot navigating a maze. Researchers used an artificial neural network grown from living cells and a first-order reduced and controlled error (FORCE) learning algorithm to help the robot navigate and learn to avoid obstacles.
HCI Platform
Robotical
Relation to Body
Around
Marketing Keywords
Source
https://aip.scitation.org/doi/suppl/10.1063/5.0064771

Date archived
November 15 2021
Last edited
November 15 2021
How to cite this entry
Hirokazu Takahashi, Yuichiro Yada, Shusaku Yasuda. (October 26 2021). "Physical reservoir computing with FORCE learning in a living neuronal culture (video)". Fabric of Digital Life. https://fabricofdigitallife.com/Detail/objects/5550