Researchers Develop Infomorphic Neurons Capable of Independent Learning

Scientists have introduced a new type of artificial neuron, termed “infomorphic neurons,” designed to replicate the decentralized learning processes observed in biological brains. These neurons, inspired by pyramidal cells found in the cerebral cortex, demonstrate the ability to independently learn and self-organize with neighboring neurons. Unlike traditional artificial intelligence systems that rely on centralized control, infomorphic neurons process local signals autonomously to adapt and specialize in tasks.

The design of these neurons draws from the structure and function of pyramidal cells, which play a critical role in information processing within the brain’s cortex. By mimicking this biological mechanism, infomorphic neurons aim to enable AI systems to operate more like natural neural networks. Researchers highlight that this approach allows for task specialization without requiring external oversight or pre-programmed instructions. The development marks an effort toward creating AI systems that can emulate the adaptive and flexible learning capabilities of human brains.

Date: March, 2025

Newsflash | Powered by GeneOnline AI

Related posts:

New Study Reveals How the Brain Filters Out Distractions to Maintain Focus Virginia’s Insurance Marketplace Extends Open Enrollment Deadline: A Detailed Report Amy Schumer’s Journey with Cushing Syndrome The Fallout of the USAID Funding Freeze: Implications for Global Health and Biopharmaceutical Innovation

Author

Mark Chiang

紐約 NYU Computer Science 碩士 紐澤西 UMDNJ Biomedical Informatics 博士 中研院博士後 台灣大學博士後