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Machine Learning

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·August 22, 2017·4 min read

Artificial Intelligence Predicts Dementia Before Onset of Symptoms

McGill University researchers have developed a deep learning algorithm capable of detecting signatures of dementia in patients two years before the onset of symptoms by reviewing a single PET brain scan.

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·August 22, 2017·3 min read

Computer Algorithm Automatically Recognizes Soccer Formations and Defensive Strategies

Researchers have developed a new algorithm that uses deep learning techniques to automatically detect and recognizes soccer formations.

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·August 15, 2017·6 min read

‘Organismic Learning’ Mimics Some Aspects of Human Thought

Purdue researchers create an organismoid that can mimic some aspects of human thought, specifically the ability to retain important information and forget unimportant memories.

Featured Neurology Open Neuroscience Articles

·August 15, 2017·4 min read

New Machine Learning Program Shows Promise For Early Alzheimer’s Diagnosis

Researchers have developed a new algorithm that integrates Alzheimer's indicators from MRI measurements to predict patients with the neurodegenerative disease.

Image shows an optical illustion of a triangle and neurons.

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·July 13, 2017·5 min read

Artificial Intelligence Helps Build Brain Atlas of Fly Behavior

Using machine learning, researchers have created a comprehensive brain map that links different groups of neurons to specific behaviors in fruit fly brains. The study, published in Cell, reports the AI used more than 225 days of video footage to help create the map. Left in human hands, the work would have taken an estimated 3,800 years to complete.

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·June 27, 2017·7 min read

Brain Signals Deliver Targeted Treatment for World’s Most Common Movement Disorder

Researchers combine movement sensing electrodes on top of the brain with deep brain stimulating electrodes to help treat essential tremor, the world's most prevalent movement disorder.

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·June 26, 2017·3 min read

‘Mind Reading’ Technology Decodes Complex Thoughts

Researchers report they can use brain activation patterns to identify complex thoughts. Their findings suggest the building blocks for complex human thoughts are not word based, but formed by the brain's sub systems. The study provides evidence that the neural dimensions of concept representation are universal across people and languages.