Models of the human brain, patterned on engineering control theory, could assist researchers control neurological diseases, according researcher who is using mathematical models of neuron networks from which more complex brain models emerge.
Researchers discover how the brain sorts out relevant and irrelevant sensory information during decision making processes.
Researchers propose highly selective neural representations are well suited to co-activating multiple things at the same time in short terms memory.
New findings about how the brain processes information in verbal working memory could have implications for the development of new AI systems, researchers report.
Researchers have trained neural networks to accelerate the reconstruction of neural circuits.
Researchers report a convolutional neural network has been used to decode brain signals from EEG data. Scientists believe deep learning systems could be important tools for neuroscience analysis and could help revolutionize brain research.
Researchers report humans often miss objects in plain sight, especially if the size is inconsistent with the rest of the scene.
A new deep learning algorithm can interpret EEG data from preterm babies and estimate the child's brain functional maturity, researchers report.