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S14-164 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... more information »
S14-125 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. ... more information »
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