Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

Abstract: The Spiking Neural Network (SNN) diverges from conventional rate-based network models by showcasing remarkable biological fidelity and advanced spatiotemporal computation capabilities, ...

OMAHA, Neb. (WOWT) - You can hear cold and flu season: people coughing, sneezing, the phone ringing as people call in sick. Health care officials say respiratory illnesses in our area are spiking. The ...

A breakthrough single-cell enteric nervous atlas charts how microbes and allergic inflammation can rewire neuronal and intestinal function—paving the way for a new generation of neuron-targeting ...

Michael Smerconish investigates the roots of political violence in the USA, highlighting that age and mental health, rather than ideology, are the primary factors. Citing historical and contemporary ...

(Nanowerk News) Our brains are masters of efficiency. “Biology is very energy optimized,” says Yevgeny Berdichevsky, an associate professor of bioengineering and electrical and computer engineering at ...

Add Yahoo as a preferred source to see more of our stories on Google. Associate professor Dong Song (L) and first author Xiwei She (R) discuss their machine learning model. (CREDIT: USC) Scientists ...

Understanding the intricate web of connections within the human brain remains one of the greatest challenges in science. This complex network of billions of neurons, communicating through brief ...

Based on the DA mediation, some sophisticated neuronal functions, including integration-and-firing, synaptic facilitation-induced spike broadening and DA-tunable spiking number and width, were ...

How the human brain organizes its visual memories through precise neural timing has been discovered. Researchers at the University of Southern California (USC; CA, USA) have made a significant ...