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

The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be ...

Researchers have created a protein that can detect the faint chemical signals neurons receive from other brain cells. By tracking glutamate in real time, scientists can finally see how neurons process ...

We can't protect what we don't understand. From decoding wolf howls to making sense of millions of citizen-science sightings, we explore the tools helping researchers understand the wild in new ways.

Neurons are the specialized cells that allow our bodies to transmit impulses, like factories that process inputs. They send signals that help us catch a ball, recognize a favorite song or pull our ...

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 ...

Newly decoded brain circuits make memories more stable as part of learning, according to a study led by NYU Langone Health researchers. The entorhinal/hippocampal circuit is known from past studies to ...

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 ...

Because of their bursty and aperiodic nature, inferring causal relationships between spike trains recorded from different neurons remains a significant challenge. Traditional causality detection ...