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Machine Learning

Featured Neurology Neuroscience Open Neuroscience Articles

·May 21, 2019·5 min read

Like A Lot of Things, Women’s Gut Microbiomes Appear to Mature Earlier than Men’s

Young women have higher gut bacteria diversity than males, study reports.

Featured Neuroscience Open Neuroscience Articles

·May 16, 2019·4 min read

New AI Sees Like a Human, Filling in the Blanks

A new deep learning system takes glimpses of its surroundings, representing less than 20% of a 360-degree view and infers the rest of the environment.

This shows a person looking at the Twitter load screen on a cell phone

Featured Neuroscience Psychology

·May 15, 2019·3 min read

Twitter image colors and content could help identify users with depression, anxiety

Combining artificial intelligence and computer vision technology, researchers were able to determine anxiety and depression risks from peoples' Twitter profile pictures.

Featured Neurology Neuroscience Neuroscience Videos Open Neuroscience Articles

·May 15, 2019·5 min read

Artificial intelligence tool vastly scales up Alzheimer’s research

A convolutional neural network algorithm is able to process an entire whole brain slice slide with 98.7% accuracy. The technology could help speed up the diagnosis of Alzheimer's disease.

Featured Neuroscience Visual Neuroscience

·May 13, 2019·5 min read

Room for thought: Brain region that watches for walls identified

MEG neuroimaging implicates the occipital place area (OPA) in our ability to rapidly sense our surroundings. The findings may advance improving machine learning and robotics technology aimed at mimicking visual processes in the human brain.

This shows a lot of different colored numbers

Featured Neuroscience Open Neuroscience Articles Visual Neuroscience

·May 9, 2019·3 min read

“Number sense” arises from the recognition of visible objects

Results from a new artificial intelligence study indicate number sense is spontaneously created by the visual system, without prior experience of counting.

Featured Neuroscience

·May 7, 2019·5 min read

Smarter training of neural networks

Researchers report artificial neural networks contain subnetworks that are considerably smaller, yet capable of being trained to make equally accurate predictions. Many subnetworks can learn to make accurate predictions much faster than the original networks.

This shows a depressed looking little girl.

Featured Neuroscience Psychology

·May 6, 2019·5 min read

AI can detect depression in a child’s speech

An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech. The algorithm identified eight audio features that signify a higher risk of depression. Of these, a lower pitch of voice, repeatable speech inflections and a higher pitch response to surprise stimuli, were more indicative of depression. Researchers hope to develop a smartphone app that records and analyzes speech immediately, helping to better detect children at risk of internalizing disorders.

This shows a computerized face and network lines

Featured Neuroscience Open Neuroscience Articles Visual Neuroscience

·May 6, 2019·4 min read

Dataset bridges human vision and machine learning

BOLD5000, a new, large scale data set of brain scans of people viewing images, is helping researchers to better understand how the brain processes images. The data set is a big step towards using computer visual models to study biological vision.

Featured Neuroscience Open Neuroscience Articles Visual Neuroscience

·May 5, 2019·4 min read

Artificial intelligence reveals what neurons in the visual cortex prefer to look at

A new deep learning algorithm can reliably determine what visual stimuli neurons in the visual cortex respond best to.

Featured Neuroscience Neuroscience Videos Visual Neuroscience

·May 3, 2019·6 min read

Artificial neural networks can be used to drive brain activity

Current deep learning models are able to create images strongly enough to activate specific neurons in the visual cortex. However, researchers say more accurate artificial neural network models should be developed to help produce more accurate control.

This image was generated by the AI and shows a monkey's face

Featured Neuroscience Open Neuroscience Articles Visual Neuroscience

·May 2, 2019·4 min read

These trippy images were designed by AI to super-stimulate monkey neurons

The XDREAM generative deep neural network utilizes firing rates of neurons in the visual cortex to guide the evolution of a novel, synthetic image. The evolved images activate neurons more than large numbers of natural images.