Using a combination of machine learning and neuroimaging data, researchers revealed a neural basis for aesthetic appreciation.
Using machine learning technology, researchers provide new insight into the neural mechanisms that govern anger and aggression.
The absence of certain gut bacteria causes mice to binge eat sweet, palatable foods. When the bacteria is restored, the desire to binge on sweetened foods decreases, and normal feeding patterns are resumed.
A new brain-machine interface is the most accurate to date at predicting a person's internal monologue. The technology could be used to assist those with disorders affecting speech to effectively communicate.
Researchers have developed a simple behavioral test to measure an individual's risk of developing Alzheimer's disease before symptoms appear.
The neural circuitry that connects olfactory information about another mouse's sex to decision-making in the brain determines the behavioral outcome as to whether aggression or affection is expressed.
A small-molecule metabolite produced by gut bacteria in mice, can travel to the brain and alter brain cell function, inducing anxiety behaviors.
A new study sheds light on the gut-to-brain osmolality signaling that regulates thirst, revealing a sensory pathway that mediates the process.
Mice learn 1,000 times faster when faced with unfamiliar environment tasks than when learning simple, yet unnatural tasks.
Researchers identified the gut bacteria E. faecalis as a mediator of social behavior and corticosterone levels in mice.
Artificial intelligence technology is able to break down a painting's visual attributes. Trained by data from online users, the deep convolutional neural network was accurately able to predict an individual's taste in art.
Focused ultrasound allowed researchers to record and monitor brain activity in a non-invasive way. The technology allowed the researchers to predict movement.
