Oxytocin therapy is ineffective at improving social skills in children on the autism spectrum.
Study reveals how evolution and natural selection have optimized the mammalian retina.
After 14,000 years of domestication, dogs have an edge in both cognition and people-reading skills over wolves.
It takes slightly longer to include information about healthy foods in the process of choosing between the taste and healthiness of a snack.
The hepaCAM protein plays a critical role in the communication and coordination of astrocytes as they build synapses. The findings shed new light on potential biological mechanisms behind ASD and epilepsy.
By the age of three, children are more likely to go along with what peers say in order to follow the crowd, rather than acting out of a desire to follow authority.
A new deep learning algorithm is superior to human experts in distinguishing between retinal ganglion cells in healthy patients and in those with glaucoma. The AI system could potentially help improve the diagnosis of both eye and brain diseases.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeurologyNeuroscienceVisual Neuroscience··5 min read
A newly developed system that uses OCT imaging and deep learning should enable better detection and monitoring of glaucoma.
A new digital app has shown to be successful in detecting one key symptom associated with ASD in young children. The app, which combines gaze tracking and machine learning algorithms, could be an inexpensive new tool to help with the diagnosis of autism.
Researchers say those who were 45 and show more signs of aging, including cognitive problems, skin wrinkles, and a decrease in cardiovascular health, are at increased risk of dementia and other frailties associated with old age.
A person's natural level of anxiety may have a significant impact on results for lab-based studies of emotion and anxiety.