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Emerging Energy-Efficient Biosignal-Dedicated Circuit Techniques: A Tutorial Brief.

, , , and . IEEE Trans. Circuits Syst. II Express Briefs, 69 (6): 2592-2597 (2022)

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Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine., , , , and . AICAS, page 1-2. IEEE, (2023)SpikeSEE: An Energy-Efficient Dynamic Scenes Processing Framework for Retinal Prostheses., , , , and . CoRR, (2022)A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding., , , , , , and . BioCAS, page 1-4. IEEE, (2023)Emerging Energy-Efficient Biosignal-Dedicated Circuit Techniques: A Tutorial Brief., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 69 (6): 2592-2597 (2022)NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector., , , , , , , , and . AICAS, page 1-5. IEEE, (2023)PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems., , , , and . AICAS, page 1-5. IEEE, (2023)NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking., , , , , , and . AICAS, page 312-316. IEEE, (2024)Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture., , , and . ISCAS, page 1-5. IEEE, (2024)SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses., , , , and . Neural Networks, (July 2023)HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things., , , , , and . IEEE Trans. Biomed. Circuits Syst., 18 (5): 1178-1189 (October 2024)