Recording data from one million neurons in real time
Applications include monitoring the brain in paralyzed patients, watching for epileptic seizure signs, and real-time feedback for robotic arms
DARPA-funded ‘body on a chip’ microfluidic system could revolutionize drug evaluation
Linked by microfluidic channels, compact system replicates interactions of 2 million human-tissue cells in 10 “organs on chips,” replacing animal testing
‘Minimalist machine learning’ algorithm analyzes complex microscopy and other images from very little data
Key tool for Chan-Zuckerberg-sponsored Human Cell Atlas project
A high-density, stretchable, 32-electrode grid for neural recording and neurological disorder treatment
A potential Neuralink device? (see SXSW video)
Super-resolution microscopy captures images in both space and time
High-speed “4D” views inside living cells
Metalens with artificial muscle simulates (and goes way beyond) human-eye and camera optical functions
Thin, flat structure promises to revolutionize eyeglasses, cameras, microscopes, and augmented and virtual-reality optics
Measuring deep-brain neurons’ electrical signals at high speed with light instead of electrodes
“We will be able to watch a neural computation happen ... a step toward understanding what a thought or a feeling actually is.” --- Prof. Edward Boyden
Low-cost EEG can now be used to reconstruct images of what you see
Has promising uses for locked-in patients and forensics --- no expensive fMRI machine needed
Do our brains use the same kind of deep-learning algorithms used in AI?
Bridging the gap between neuroscience and AI
round-up | Two new wearable sensors may replace traditional medical diagnostic devices
Breakthrough technologies presented at AAAS annual meeting Feb. 17, 2018
