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.
Information about new experiences is retained by being tied to pre-existing activity patterns in the brain. Memory is acquired when the patterns are connected to each other across brain regions via transient bursts of activity.
Researchers have developed a new AI algorithm that prevents smart devices such as Alexa or Siri from correctly hearing your words 80% of the time. The algorithm is a step toward providing personal agency in protecting the privacy of their voice in the presence of smart devices.
