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Bio-Intelligent Machine - Aura / バイオ人工知能

A collaboration with Ikeuchi Lab


At the Ikeuchi Lab, electrical signals have been measured in a bio-synthetic neuron bundle. Understanding the electrical activity between these neurons might allow researchers to develop bio- intelligent machines. Therefore, a synthetic neuron bundle might be the first building block to creating bio-intelligence. When bio- synthetic neurons replace silicon-based computing, they will bring huge advantages. They consume far less energy; they can process more complex data; they are biocompatible and biodegradable.

Aura is a health monitoring device that reads your biochemical signals and is the first deployment of a bio-intelligent machine. Modified bio-synthetic neurons which are sensitive to volatile organic compounds sweep the surrounding air to identify the user and to read their bio-chemical signature. A microchannel structure made from bio-synthetic neurons gives Aura its intelligence. It analyses the bio-electrical signals from the olfactory antennae to assess the health of the individual based on pre-learnt patterns.



About Ikeuchi Lab The morphology of neurons is a fundamental component of the circuitry formed in the brain, of which much remains unknown. Ikeuchi lab’s research examines how neurons and brains form their unique shape, to eventually understand how brain works and how brain diseases develop.

The lab uses biochemical and bioengineering techniques to examine the roles of protein synthesis regulation and cell-cell interactions in neural morphogenesis. In collaboration with diverse researchers at IIS including Anges Tixier-Mita, Timothée Levi and Teruo Fujii, they are developing micro culture device and electrical compartments to model parts of our nervous system and their connections outside of our body.

池内研究室について 池内研究室は神経・脳の形態形成のメカニズムを明らかにすることによって、脳の発生の仕組みを解明し、脳の疾患を克服することを目指している。池内研究室はタンパク質合成機構の制御が神経細胞の形の形成に果たす役割を生化学・遺伝子工学的手法を用いて明らかにすることで、脳疾患の治療への寄与を目指している。藤井輝夫教授、ティモテ・レビ氏、ティクシエ・三田・アニエス准教授をはじめ、他のIISの研究チームと共同でマイクロ培養デバイスやエレクトリック・コンパートメントを開発することにより、神経系を構成するパーツと、それらのネットワーク形成の様子を体外でモデル化している。


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