The progression of Alzheimer's disease is poorly understood, but new research may have found how the plaques that cause it ...

"This fundamentally changes how we think about the evolution of complex nervous systems," said biologist Jack Ullrich-Lüter.

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 ...

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

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

Abstract: In this article, we propose an approach to enhance zero-velocity-update (ZUPT)-aided inertial navigation systems (INSs) with a time series support vector machine (SVM) forecaster algorithm.

Abstract: Reservoir computing (RC) significantly reduces the requirement on hardware and training resources, making it suitable for edge-computing applications. This work proposes using ...

Neuronal synchronization refers to the temporal coordination of activity across populations of neurons, a process that underlies coherent information processing, supports the encoding of diverse ...

Jeklira Tampubolon and Dwipa Abimanyu Dewantara of GNV Consulting outline recent developments on import duties, the Directorate General of Taxes’ follow-up on concrete tax data, e-commerce taxation, ...