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A Light-Tolerant Wireless Neural Recording IC for Motor Prediction With Near-Infrared-Based Power and Data Telemetry.

, , , , , , , , , , , , , , , , and . IEEE J. Solid State Circuits, 57 (4): 1061-1074 (2022)

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A 260×274 μm2 572 nW Neural Recording Micromote Using Near-Infrared Power Transfer and an RF Data Uplink., , , , , , , , , and 7 other author(s). VLSI Technology and Circuits, page 64-65. IEEE, (2022)26.9 A 0.19×0.17mm2 Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry., , , , , , , , , and 4 other author(s). ISSCC, page 416-418. IEEE, (2020)A Light-Tolerant Wireless Neural Recording IC for Motor Prediction With Near-Infrared-Based Power and Data Telemetry., , , , , , , , , and 7 other author(s). IEEE J. Solid State Circuits, 57 (4): 1061-1074 (2022)Neural Correlates of error processing during grasping with invasive brain-machine interfaces., , , and . NER, page 215-218. IEEE, (2019)A Light Tolerant Neural Recording IC for Near-Infrared-Powered Free Floating Motes., , , , , , , , , and 6 other author(s). VLSI Circuits, page 1-2. IEEE, (2021)An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface., , , , , , , and . AICAS, page 134-137. IEEE, (2022)