Robotics & Machine Learning Daily News2024,Issue(MAY.30) :56-56.

Fudan University Reports Findings in Robotics (Firing feature-driven neural circ uits with scalable memristive neurons for robotic obstacle avoidance)

Robotics & Machine Learning Daily News2024,Issue(MAY.30) :56-56.

Fudan University Reports Findings in Robotics (Firing feature-driven neural circ uits with scalable memristive neurons for robotic obstacle avoidance)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "Neural circuits with specifi c structures and diverse neuronal firing features are the foundation for support ing intelligent tasks in biology and are regarded as the driver for catalyzing n ext-generation artificial intelligence. Emulating neural circuits in hardware un derpins engineering highly efficient neuromorphic chips, however, implementing a firing features-driven functional neural circuit is still an open question." Our news journalists obtained a quote from the research from Fudan University, " In this work, inspired by avoidance neural circuits of crickets, we construct a spiking feature-driven sensorimotor control neural circuit consisting of three m emristive Hodgkin-Huxley neurons. The ascending neurons exhibit mixed tonic spik ing and bursting features, which are used for encoding sensing input. Additional ly, we innovatively introduce a selective communication scheme in biology to dec ode mixed firing features using two descending neurons. We proceed to integrate such a neural circuit with a robot for avoidance control and achieve lower laten cy than conventional platforms."

Key words

Shanghai/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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