The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
14don MSN
Biology-inspired brain model matches animal learning and reveals overlooked neuron activity
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Researchers find that communication between key brain regions shortly after injury may predict long-term functional recovery ...
Integrated structural and functional MRI identifies brain-based biomarkers that distinguish active from remissive Crohn’s ...
The most comprehensive model of the brain’s metabolism, incorporating more than 16,800 biochemical interactions, has identified key targets to reverse the age-related decline in brain function. The ...
A new open-source model of brain metabolism, developed by scientists at École Polytechnique Fédérale de Lausanne (EPFL), has shown how altering key chemicals could restore aged cells to their youthful ...
An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...
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