Treatments for depression including ECT and antidepressants increase brain connectivity in those with clinical depression.
Study reveals a hidden order in seemingly random connections between neurons.
Neural silencing periods are not a disadvantage representing biological limitations, but rather an advantage for temporal sequencing identification.
Understanding how changes in the brain relate to changes in well-being is key to developing new targets for the treatment of mental health disorders.
Using artificial neural networks to analyze neuroimaging data, researchers are able to accurately determine biological age.
Researchers suggest that when in a group, ants behave in a similar fashion to networks of neurons in the brain.
A new artificial neural network aced a wine tasting test and promises a less energy-hungry version of artificial intelligence, researchers report.
Researchers developed a new GPU-based machine learning algorithm to help predict the connectivity of networks within the brain.
Human cortical networks have evolved a novel neural network that relies on abundant connections between inhibitory interneurons.
Findings reveal sparse chemical connectivity as a generalized feature of the hypothalamus circuitry.
Researchers propose a new framework for three seemingly unconnected forms of creativity.
Resting brain activity can provide approximate maps of network organization in the brain. A new imaging technique allowed researchers to examine cortical architecture in greater detail than before in the living brain.
