Researchers Developed Nanomaterials That Partly Replicates Brain Function

Our brain surprisingly requires less energy to adapt to the environment to learn, take part in complex information processing, forge ambiguous recognitions etc. As brain science has advanced, scientists have tried to simplify brain structure but due to its complexity they haven't been able to completely emulate it. Neural circuits need to possess two key features, one is "learning ability of synapses" and the other is "nerve impulses or spikes". While generating neuromorphic chips to artificially duplicate circuits that imitate brain structures, the function of generation and transmission that can replicate nerve impulses are not yet fully used.

A joint group of researchers from Kyushu Institute of Technology and Osaka University have created vastly dense and random SWNT/POM network molecular neuromorphic devices that develop spontaneous spikes akin to nerve impulses of neurons. They did simulation calculations of random molecular network model that was complexed with POM molecules. These molecules can store electric charges and duplicate spiked that are developed from random molecular network. The researchers on the project also put forward on how the molecular model would become a part of reservoir computing devices, which are considered as next-generation artificial intelligence.

It is anticipated that this research is going to play a major role in development of neuromorphic devices in the future.

By: Neha Maheshwari

Content: https://www.sciencedaily.com/releases/2018/07/180712100507.htm