Self-organized Infomorphic Artificial Neurons learn independently, drawing necessary information from their immediate network

https://techxplore.com/news/2025-03-infomorphic-neurons-independently.html

"neurons find their specific learning rules themselves, deciding which inputs are/ are not relevant to meet the scientist's very general, easy-to-understand learning goals... inspired by cerebral cortex's pyramidal cells... scientists focused on learning process of each individual neuron, applying information-theoretic measure precisely adjusting whether a neuron should seek more redundancy with its neighbors, collaborate synergistically, or try to specialize in its own part of the network's information... machine learning"

Related: Artificial neurons become more advanced—and simpler—with conductive plastics
https://techxplore.com/news/2025-09-artificial-neurons-advanced-simpler-plastics.html