A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...

People with autism spectrum disorders commonly have difficulty processing sensory information, which can make busy, bright or loud settings—such as schools, airports and restaurants—stressful or even ...

Life depends on motion. To eat, go home, or explore, we must know where we are, where we want to go and how to get there. We ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that ...

Researchers have developed a new type of artificial neuron that physically emulates the electrochemical processes of ...

Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...

An international research team, led by Shinghua Ding at the University of Missouri, has identified a previously unknown ...