Inorganic brain| Design of inorganic brain-like computing |Computer-Brain

Design of inorganic materials of brain-like computing .

Brain-of-computer :Ever wish your computer could think like you do or perhaps even understand you? That not be Posible at now, but it's very closer. 

The multidisciplinary team, led by Texas A&M chemist Sarbajit Banerjee with electrical and computer engineer R. Stanley Williams and additional colleagues across North America and abroad,has discovered a neuron-like electrical switching mechanism in the solid-state material β'-CuxV2O5 -- specifically, how it reversibly morphs between conducting and insulating behavior on command.

Inorganic brain| Design of inorganic materials of brain-like computing |Computer-Brain|brain-of-computer

The team was able to clarify the underlying mechanism driving this behavior by taking a new look at β'-CuxV2O5,  chameleon-like material that changes with temperature or an applied electrical stimulus. In the process, they zeroed in how copper ions move around inside the material and how this subtle dance in turn sloshes electrons around to transform it.

They found by the research, that the movement of copper ions is the linchpin of an electrical conductivity change which can be leveraged to create electrical spikes in the same way that neurons function in the cerebral nervous system -- a major step toward developing circuitry that functions like the human brain. Their resulting paper, which features Texas A&M chemistry graduate students Abhishek Parija, Justin Andrews and Joseph Handy as first authors, is published Feb. 27 in the Cell Press journal Matter.

Williams said that "Nature has given us materials with the appropriate types of behavior to mimic the information processing that occurs in a brain, but the ones characterized to date have had various limitations" "The importance of this work is to show that chemists can rationally design and create electrically active materials with significantly improved neuromorphic properties. As we understand more, our materials will improve significantly, thus providing a new path to the continual technological advancement of our computing abilities."