AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

Neuronal network dynamics and electrophysiology encompass the study of how networks of neurons communicate, adapt and process information through electrical signals. This field integrates insights ...

Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

To think, feel, talk and move, neurons send messages through electrical signals in the brain and spinal cord. This intricate ...

Implantable bioelectronics are vital to neuroscience, neurological therapies, and brain-machine interfaces. They serve as indispensable interfaces that enable the communication between biological ...

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks. Uncovering the relationship between structure (connectivity) and ...

To think, feel, talk and move, neurons send messages through electrical signals in the brain and spinal cord. This intricate communication network is built of billions of neurons connected by synapses ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

For more than a century, the story of the brain has been told as a tale of neurons, with every thought and memory traced to their electrical chatter. That narrative is now being rewritten as evidence ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...