A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
AZoLifeSciences on MSN
Computational brain model predicts errors, uncovers previously unseen neurons
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category ...
Closely related subtypes of dopamine-releasing neurons may play entirely separate roles in processing sensory information, depending on their physical structure.
From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.
Closely related subtypes of dopamine-releasing neurons may play entirely separate roles in processing sensory information, depending on their physical structure. New research from the Institute of ...
Scientists have known for years that a lattice of blood vessels nourishes cells in the retina that allow us to see -- but it's been a mystery how the intricate structure is created. Now, researchers ...
Posts from this topic will be added to your daily email digest and your homepage feed. AlphaFold 3 uses the same method as AI image generators to predict how different molecules fit together.
Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback