Lab-grown mini-brains learned to play video games using electrical signals, improving from 4.5% to 46% success in AI balance tests.

Biological neural networks as a research area focus on the structure, dynamics, and computation of networks of real neurons in living organisms, integrating cellular neurophysiology, synaptic ...

Biological cells process data and perform computations all the time. They take inputs in the form of external stimuli and produce specific responses. Recently, scientists have been looking at ways to ...

(A) Schematic illustration of the DishBrain feedback loop, the simulated game environment, and electrode configurations. (B) A schematic illustration of the overall network construction framework. The ...

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Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers has programmed these infomorphic neurons and constructed artificial ...

Researchers at TUM trained artificial neural networks using biological data from the early visual system development. These networks completed tasks more quickly and accurately than those without such ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...

AI neural networks, inspired by the human brain are a foundational technology in the field of artificial intelligence. They are designed to recognize patterns and make decisions with a level of ...