Interesting article (a bit over my head) on “neuromorphic” computing. Buried in the article (thanks to Warren Ellis for highlighting):
The researchers believe that neuromorphic computing could help bridge the gap between neuroscience and applied mathematics, offering new insights into how the brain processes information.
“Diseases of the brain could be diseases of computation,” Aimone said. “But we don’t have a solid grasp on how the brain performs computations yet.”
If their hunch is correct, neuromorphic computing could offer clues to better understand and treat neurological conditions like Alzheimer’s and Parkinson’s.
Reminiscent of a lecture I attended in grad school (which went WAY over my head), that discussed memories in the brain as being best represented by “attractor” models. Meaning: rather a memory being a fixed pattern of neuron activity, it’s more of a most likely network of activity. I think, anyway: I’ll have to dig that up….