The Hopfield neural network (HNN) method has shown great advantages in SPM and various extended versions have been developed recently. However, a long-standing issue in the HNN, especially in the ...

Uncommon Courses is an occasional series from The Conversation U.S. highlighting unconventional approaches to teaching.

The fully connected topology, which coordinates the connection of each neuron with all other neurons, remains the most commonly used structure in Hopfield-type neural networks. However, fully ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Scientists at UCSF combined advanced brain-network modeling, genetics, and imaging to reveal how tau protein travels through ...

"It's literally going to feel like a sci-fi movie," Figure AI founder Brett Adcock says.

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Geoffrey Hinton warns that machine self-preservation may soon pose an existential threat without urgent regulation.

Neural decoding articles from across Nature Portfolio Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

A collaborative study led by Professor Vittoria Raffa at the University of Pisa and Assistant Professor Fabian Raudzus ...

Thanks to the neural network, the researchers now suspect that the black hole at the center of the Milky Way is spinning at almost top speed. Its rotation axis points to the Earth.