The new project stemmed from an unexpected discovery made when researchers trained an artificial neural network to study car dashcam footage.
Franken and Wessel win NIH grant to study how artificial and biological brains process video imagery
Tag: Ralf Wessel
NeuroAI Symposium explores the intersections between digital and biological brains
What happens when biological and artificial intelligence meet? Since its launch in 2022 as a multiyear project funded by the Incubator for Transdisciplinary Futures, Toward a Synergy Between Artificial Intelligence and Neuroscience has explored the intersections between the human brain and the novel AI networks that seek to emulate its functions. On May 15, that work culminated in […]
Why do we sleep? Researchers propose an answer to this age-old question
Sleep is a fundamental need, just like food or water. “You’ll die without it,” said Keith Hengen, PhD, an assistant professor of biology at Washington University in St. Louis. But what does sleep actually accomplish? For years, the best researchers could say is that sleep reduces sleepiness — hardly a satisfying explanation for a basic requirement […]
Toward a Synergy Between Artificial Intelligence and Neuroscience
The convergence of machine learning and artificial intelligence, and brain sciences is creating a unique opportunity for transformational research into the understanding of how intelligence works. Given recent breakthrough discoveries in all three areas, this is the right time to invest in this area. Within the Incubator for Transdisciplinary Futures, eight faculty from Arts & […]
Neurons in visual cortex of the brain ‘drift’ over time
Although other studies have documented “representational drift” in neurons in the parts of the brain associated with odor and spatial memory, this result is surprising because neural activity in the primary visual cortex is thought to be relatively stable. The study published Aug. 27 in Nature Communications was led by Ji Xia, PhD, a recent PhD graduate of […]
The fractal brain, from a single neuron’s perspective
Hacking into brain signals may be more straightforward than once thought. Physicists studying the brain at Washington University in St. Louis have shown how measuring signals from a single neuron may be as good as capturing information from many neurons at once using big, expensive arrays of electrodes. Wessel The new work continues the discussion […]