the team also successfully implemented the "neuron-synapse-neuron" structure, the basic unit block of an artificial neural ...

A new study links hundreds of brain proteins to differences in how brain regions communicate, revealing how microscale ...

The integration of artificial neural networks (ANNs) into predictive analytics is transforming the way industries forecast ...

The feat marks the first time an adult animal brain with a complex structure has been mapped neuron by neuron ... through the expanding neuronal network. In addition to AI, the project uniquely ...

To further refine their understanding of the neural circuitry, the team conducted single-nucleus RNA sequencing to classify ...

Artificial neural networks: A tutorial (paper by Jain and Mao, 1996, in Computer) What are artificial neural networks? (paper by Krogh, 2008, in Nature Biotechnology) Letting structure emerge ... 2017 ...

The true function of our endocannabinoid system has been obscured by its name. It has no essential relationship to cannabis ...

The paper demonstrated gFTP’s utility in exploring neural dynamics, structure ... overall computational steps. Network robustness was tested by perturbing neuron activations and observing ...

RIT Assistant Professor Alexander Ororbia published a paper on smarter and greener artificial intelligence in Science ...

Researchers at the Del Monte Institute for Neuroscience at the University of Rochester discovered that in some areas of the brain, neuron ... neuronal structure. Previously, researchers would only be ...

In 1981, at California Institute of Technology, physicist John Hopfield worked with his colleagues Richard Feynman and Carer Mead to create a new course for students that would cover some of the most ...