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Low-power, low-mismatch, highly-dense array of VLSI Mihalas-Niebur neurons., , , , , and . ISCAS, page 1-4. IEEE, (2017)A compact aVLSI conductance-based silicon neuron., , , , and . BioCAS, page 1-4. IEEE, (2015)Event-LSTM: An Unsupervised and Asynchronous Learning-Based Representation for Event-Based Data, , and . IEEE Robotics and Automation Letters, 7 (2): 4678-4685 (April 2022)FPGA based Compressive Sensing Framework for Video Compression on Edge Devices., , , and . VDAT, page 1-5. IEEE, (2020)Editorial: Focus on Neuromorphic Circuits and Systems using Emerging Devices., and . Neuromorph. Comput. Eng., 4 (1): 10201 (March 2024)A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch., , , , and . CoRR, (2015)A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces., , , , , , and . BioCAS, page 1-5. IEEE, (2023)Low Power Neuromorphic Analog System Based on Sub-Threshold Current Mode Circuits., , , , and . ISCAS, page 1-5. IEEE, (2019)Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines., , , , , , and . MWSCAS, page 311-314. IEEE, (2019)Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices., , and . IEEE Trans. Neural Networks Learn. Syst., 33 (6): 2676-2685 (2022)