A scale independent general framework to design reconfigurable metamaterials
How to design materials with reprogrammable shape and function
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How to design materials with reprogrammable shape and function
Researchers at Harvard have reportedly developed a metafluid that they have referred to as "intelligent liquid," according to the Debrief. The liquid contains "tunable springiness, adjustable optical properties, variable viscosity, and even the seemingly magical ability to shift between a Newtonian ...
We've never seen something like this before.
Large-scale, long-term recordings of the activity of individual brain neurons are essential for improving our knowledge of neural circuits, developing new medical device-based treatments, and, eventually, developing brain-computer interfaces that need high-resolution electrophysiological data.
Recording the activity of large populations of single neurons in the brain over long periods of time is crucial to further our understanding of neural circuits, to enable novel medical device-based therapies and, in the future, for brain–computer interfaces requiring high-resolution electrophysiological information.