In refereed journals 2023
System model of neuromorphic sequence learning on a memristive crossbar array
Neuromorphic computing and engineering 3, 024002 (2023) [10.1088/2634-4386/acca45]
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NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
Proceedings of the National Academy of Sciences of the United States of America 120(32), e2300558120 (2023) [10.1073/pnas.2300558120]
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Sequence learning in a spiking neuronal network with memristive synapses
Neuromorphic computing and engineering 3, 034014 (2023) [10.1088/2634-4386/acf1c4]
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Closed-loop sound source localization in neuromorphic systems
Neuromorphic computing and engineering 3(2), 024009 - (2023) [10.1088/2634-4386/acdaba]
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Design principles for lifelong learning AI accelerators
Nature electronics 6(11), 807 - 822 (2023) [10.1038/s41928-023-01054-3]
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Building and benchmarking the motivated deception corpus: Improving the quality of deceptive text through gaming
Behavior research methods 55(8), 4478 - 4488 (2023) [10.3758/s13428-022-02028-7]
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Training Spiking Neural Networks Using Lessons From Deep Learning
Proceedings of the IEEE 111(9), 1016 - 1054 (2023) [10.1109/JPROC.2023.3308088]
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A 22-pJ/spike 73-Mspikes/s 130k-compartment neural array transceiver with conductance-based synaptic and membrane dynamics
Frontiers in neuroscience 17, 1198306 (2023) [10.3389/fnins.2023.1198306]
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Editorial: Focus issue on machine learning for neuromorphic engineering
Neuromorphic computing and engineering 3(3), 030403 - (2023) [10.1088/2634-4386/acee1a]
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Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization
Neural networks 161, 228 - 241 (2023) [10.1016/j.neunet.2023.01.025]
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