A high-speed voltage imaging system mapped electrical activity across the zebrafish brain at millisecond resolution, ...

Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech's Anima Anandkumar says ...

This work establishes a valuable theoretical finding about how the spike timing dependence of inhibitory plasticity shapes recurrent network connectivity. The combination of theoretical analysis and ...

Boosting communication between the spinal nerves and the muscles using the spinal cord stimulation reverses spinal muscle atrophy (SMA) progression and could be applied to other motoneuron diseases, ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...