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Biologically Inspired Dynamics Enhance Deep Learning., , and . ERCIM News, (2021)Neuromorphic system with phase-change synapses for pattern learning and feature extraction., , , and . IJCNN, page 3724-3732. IEEE, (2017)Feature Learning Using Synaptic Competition in a Dynamically-Sized Neuromorphic Architecture., , , and . ICRC, page 1-7. IEEE, (2017)Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence., , , , , , , , , and 18 other author(s). CoRR, (2024)Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)., , , , , , , , , and 13 other author(s). ISCAS, page 1-5. IEEE, (2023)MultiEmo: Language-Agnostic Sentiment Analysis., , , , , and . ICCS (1), volume 13351 of Lecture Notes in Computer Science, page 72-79. Springer, (2022)Neuromorphic Optical Flow and Real-time Implementation with Event Cameras., , , , , , , and . CVPR Workshops, page 4129-4138. IEEE, (2023)Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns., , , , and . ICANN (1), volume 10613 of Lecture Notes in Computer Science, page 281-288. Springer, (2017)A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh., , , , , , , , , and 5 other author(s). IEEE Trans. Very Large Scale Integr. Syst., 31 (1): 114-127 (2023)Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)., , , , , , , , , and 11 other author(s). IRPS, page 1-10. IEEE, (2023)