Widely used music algorithms are more likely to recommend and select music by male artists, at the detriment of female musicians. A new study addresses gender disparities in music-based algorithms.
When convolutional neural networks are trained under experimental conditions, they are deceived by the brightness and color of a visual image in similar ways to the human visual system.
Findings reveal individual differences in the severity of depressive symptoms following a relationship breakdown are associated with changes in resting-state whole-brain dynamics.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··3 min read
A new web-based game that is independent of language can help to detect dyslexia in children.
Computational simulations reveal the integration of both neuronal and neurotransmitter systems at a whole-brain level is vital to fully understand the effects of psilocybin on brain activity.
Study reports it may be possible to detect the onset and progression of Huntington's disease through linguistic changes in patients. Linguistic impairments often begin before the onset of other Huntington's symptoms.
Non-invasive auricular transcutaneous vagus nerve stimulation (atVNS), applied to an accessible area of the ear, improves memory in mouse models of intellectual disability.
Regardless of musical training, a person's brain synchronizes with the rhythm of music, but musicians' brain responses are much stronger and more resistant to distraction.
A new video game fosters more social initiation that free play for those with ASD. The game also is effective at reducing repetitive behaviors and helps improve gestural expression.
While endocannabinoids have been reported to play a role in anti-inflammation in some areas of the brain, a new study reveals they may cause inflammation in the cerebellum.