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Delta Activation Layer exploits temporal sparsity for efficient embedded video processing., и . IJCNN, стр. 1-10. IEEE, (2022)SpArNet: Sparse Asynchronous Neural Network execution for energy efficient inference., , , , и . AICAS, стр. 256-260. IEEE, (2020)Live demonstration: Multiplexing AER asynchronous channels over LVDS links with flow-control and clock-correction for scalable neuromorphic systems., , , , , , , , и . ISCAS, стр. 1. IEEE, (2017)Fast Pipeline 128×128 pixel spiking convolution core for event-driven vision processing in FPGAs., , и . EBCCSP, стр. 1-8. IEEE, (2015)Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity., , , , , , , , , и 1 other автор(ы). IEEE J. Emerg. Sel. Topics Circuits Syst., 9 (4): 668-678 (2019)Multiplexing AER asynchronous channels over LVDS links with flow-control and clock-correction for scalable neuromorphic systems., , , , , , , , и . ISCAS, стр. 1-4. IEEE, (2017)NeuronFlow: A Hybrid Neuromorphic - Dataflow Processor Architecture for AI Workloads., , , , , , , , , и . AICAS, стр. 1-5. IEEE, (2020)Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design., , , , , , , , и . ISCAS, стр. 1-5. IEEE, (2023)Hardware implementation of convolutional STDP for on-line visual feature learning., , , и . ISCAS, стр. 1-4. IEEE, (2017)Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors., , , , , , , , и . CoRR, (2024)