Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...
Researchers build soft 3D bioelectronic mesh with 240 electrodes that records from 91% of lab-grown brain organoid surface.
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Shape-conforming 3D bioelectronic mesh maps 91% of lab-grown mini brain activity
Scientists have built a soft, three-dimensional electronic device that can wrap around lab-grown human ...
A research team at the Pohang University of Science and Technology (POSTECH) has unveiled a physical encryption platform that could potentially change the security architecture of optical ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
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