Researchers discuss different current neural network models and consider the steps that need to be taken to make them more realistic, and thus more useful, as possible.
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··3 min readArtificial neural networks help researchers uncover new clues as to why people on the autism spectrum have trouble interpreting facial expressions.
Physical exercise was associated with more efficiently organized, robust, and flexible networks in the preteen brain.
Self-reported cognitive decline was associated with altered functional connectivity in the hippocampus and dorsal anterior insular, a new study reports.
When reading, people are not only able to predict the next word, but also the words' grammatical properties. This allows us to read faster. The findings could help with the development of new neural networks focused on natural language processing.
A newly developed technique dubbed NeuroPAL is helping researchers investigate the dynamics of neural networks in the nervous system of microscopic worms.
A brain network consisting of the thalamus, anterior and posterior cingulate cortex, and angular gyri was implicated in the loss, and return, of consciousness under both anesthetic and natural sleep.
Researchers have identified a novel coupling mechanism that links neural networks in the human brain.
An innovative new model helps predict how damaging conditions in the brain can be triggered by complex dynamics in branching neural networks.
Fear and anxiety share overlapping neural circuits. The findings contradict the popular belief that anxiety and fear are distinct emotions with different triggers and segregated brain circuits.
A new computational model predicts how information deep inside the brain could flow from one network to another, and how neural network clusters can self optimize over time.
Microglia, immune cells that protect the brain from infection and inflammation, also appear to play a critical role in sculpting circuits in the developing brain.
