The ability to study human neurological systems depends on having viable, accurate models of brain function. St. Jude researchers have now created a model for such research by combining thalamic cells ...
Duke University Medical Center-led research has identified a human-specific DNA enhancer that regulates neural progenitor proliferation and cortical size. Small genetic changes in HARE5 amplify a key ...
Engineers at the University of Massachusetts, Amherst have developed an artificial neuron like no other. In experiments, their newly created model was able to directly communicate with a biological ...
An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain’s electrical activity. It provides a real-time readout of brain “waves”—rhythms ...
To better model how neurons fire and interact with glia, some scientists place the cells into a brain or grow them in an organoid. Others have produced little spheres of human neural tissue by ...
Through conversation, humans engage in a complex process of alternating speech production and comprehension to communicate. The neural mechanisms that underlie these complementary processes through ...
Figure 1. Diagram showing an electrically active cell in a neuronal culture and the process of recording its transmembrane potential for further analysis Neurons are cells that enable the brain to ...
Human Activity Recognition (HAR) is crucial in multiple fields. Existing HAR techniques include manual feature extraction, codebook-based methods, and deep learning, each with limitations. This paper ...
You probably have a general understanding of the human brain: a network of nerve cells connected by synapses. Complex or abstract ideas emerge as a result of the firing of many of these nerve cells, ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
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A biology-based AI brain model matched real animals in learning tasks — then revealed neuron behavior nobody noticed
For more than a decade, neuroscientists had recordings from monkey brains learning to sort visual patterns. They had analyzed the data, published landmark papers, and moved on. Then a computer model ...
This article and associated images are based on a poster originally authored by Hannah Sharplin, Stuart Prime, Jessica Tilman, Steven Broadbent, David Wallbank and Ashley Barnes and presented at ELRIG ...
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