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An intracortical brain-machine interface driven by low-frequency local field potentials alone and combined with action potentials

Stanford researchers at the Shenoy Lab have developed a new signal processing and decoding algorithm which improves the performance and life of Brain Machine Interfaces (BMI). BMIs aim to help people with paralysis by converting neural signals into contro...
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Structure-guided transformation of channelrhodopsin into a light-activated chloride channel

Researchers in Dr. Karl Deisseroth’s lab have created inhibitory channelrhodopsins (ChRs) that allow fast, reversible inhibition of electrical signals in neurons. Optogenetics is a technique used to understand normal and pathological neural circuitry. ...
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