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Machine Learning

This shows a young woman looking out of a window

Featured Neuroscience Open Neuroscience Articles Psychology

·June 11, 2019·3 min read

Brain activation provides individual-level prediction of bipolar disorder risk

Combining neuroimaging data with machine learning, researchers have identified patterns of brain activation during reward anticipation, associated with an increased risk of developing bipolar disorder. The patterns of neural activation predict the severity of mania symptoms in young adults who have not yet developed the disorder.

Featured Neuroscience

·June 11, 2019·4 min read

Research moves closer to brain-machine interface autonomy

Findings allow for the development of an autonomously updating brain-machine interface, which is able to improve on its own by learning about its subject without additional programming. The system could help develop new robotic prosthetics, which can perform more naturally.

This is a chart linking substances to personality types

Featured Neuroscience Psychology

·June 10, 2019·3 min read

Personality traits of drug users

Your personality type may influence addiction to certain drugs, a new study reveals. Those whose personalities rank higher for impulsivity are more likely to use ecstasy, while those who score higher for neurotic traits are more likely to use opioid like heroin, researchers report.

Featured Neurology Neuroscience Open Neuroscience Articles

·June 7, 2019·7 min read

AI tool helps radiologists detect brain aneurysms

The newly developed HeadXNet deep learning system can accurately detect clinically significant aneurysms from patients' brain scans. The tool could improve diagnostics and care for those experiencing aneurysms.

Neuroscience

·June 7, 2019·4 min read

Algorithm provides customized caffeine strategy for alertness

Researchers have developed a web-based caffeine optimization tool that helps determine the ideal dosage and timing for a cup of joe, based on the individual. The aim of the algorithm is to help users maximize the effects of alertness without indulging in excessive caffeine consumption.

Featured Neuroscience Open Neuroscience Articles

·June 6, 2019·3 min read

Fussy, hungry, or even in pain? Scientists create an AI tool to tell babies’ cries apart

A new deep learning algorithm, based on automatic speech recognition, is able to accurately identify features in an infant's cry and differentiate between normal versus abnormal cry signals.

Featured Neuroscience Psychology

·June 3, 2019·6 min read

Algorithm that Tailors Digital Meditation Program Improves Attention and Memory

MediTrain, a new app-based program that uses a closed-loop algorithm to tailor the length of meditation sessions to a person's ability, can improve memory and attention in younger people.

This shows a diagram of how the algorithm works

Featured Neuroscience

·May 29, 2019·2 min read

Outsmarting deep fakes: Researchers devise an AI-driven imaging system that protects authenticity

It might start to get easier to distinguish between real and fake images, thanks to a new deep learning system developed by NYU. The system is able to implant digital watermarks using an artificial neural network and spot manipulated photos and videos.

Featured Neuroscience Open Neuroscience Articles

·May 29, 2019·4 min read

Tempted to cheat on a written exam? Artificial intelligence is 90% certain to nab you

Using a Siamese neural network, a new deep learning system dubbed Ghostwriter is able to distinguish the writing styles between different texts. The algorithm compares a student's current written work against past examples of their prose, providing a percentage score for similar writing styles. The new system could be used to determine if a student has plagiarized their work, or if it is an original piece.

This shows how the AI discovered the mutations

Autism Featured Genetics Neuroscience

·May 27, 2019·5 min read

New causes of autism found in ‘junk’ DNA

Using artificial intelligence, researchers discover mutations in noncoding regions of the human genome that may result in autism. The noncoding mutations are associated with altered gene regulation in children with ASD. Additionally, the mutations affect gene expression in the brain and genes already linked to autism, such as those responsible for neuron development and migration.