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Browsing by Author "Tang, Guangzhi"

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    Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces

    Hueber, Paul  
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    Tang, Guangzhi  
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    Sifalakis, Manolis  
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    Liaw, Hua-Peng  
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    Micheli, Aurora
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    Tomen, Nergis
    Journal article
    2024-JUN 1, NEUROMORPHIC COMPUTING AND ENGINEERING, (4) 2, p.024008
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    Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking

    Patino-Saucedo, Alberto
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    Yousefzadeh, Amirreza  
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    Tang, Guangzhi  
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    Corradi, Federico
    Proceedings paper
    2023, 56th IEEE International Symposium on Circuits and Systems (ISCAS), MAY 21-25, 2023
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    Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification

    Xu, Yingfu  
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    Tang, Guangzhi
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    Yousefzadeh, Amirreza
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    de Croon, Guido C. H. E.
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    Sifalakis, Manolis  
    Journal article
    2025-AUG, NEURAL NETWORKS, 188
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    Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design

    Tang, Guangzhi  
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    Safa, Ali  
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    Shidqi, Kevin  
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    Detterer, Paul  
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    Traferro, Stefano  
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    Konijnenburg, Mario  
    Proceedings paper
    2023, 56th IEEE International Symposium on Circuits and Systems (ISCAS), MAY 21-25, 2023
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    Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration

    Xu, Yingfu  
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    Shidqi, Kevin  
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    van Schaik, Gert-Jan  
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    Bilgic, Refik  
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    Dobrita, Alexandra  
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    Wang, Shenqi  
    Journal article
    2024, FRONTIERS IN NEUROSCIENCE, 18, p.Art. 1335422
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    SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges

    Tang, Guangzhi  
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    Vadivel, Kanishkan  
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    Xu, Yingfu  
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    Bilgic, Refik  
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    Shidqi, Kevin  
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    Detterer, Paul  
    Journal article
    2023, FRONTIERS IN NEUROSCIENCE, 17, p.Art. 1187252
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    SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems

    Nembhani, Prithvish  
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    Vadivel, Kanishkan  
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    Tang, Guangzhi  
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    Tahghighi, Mohammad  
    Proceedings paper
    2024, International Joint Conference on Neural Networks (IJCNN), 2024-06-30
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    The neurobench framework for benchmarking neuromorphic computing algorithms and systems

    Yik, Jason
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    van den Berghe, Korneel
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    den Blanken, Douwe
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    Bouhadjar, Younes
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    Fabre, Maxime
    Journal article review
    2025-FEB 11, NATURE COMMUNICATIONS, (16) 1
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    TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision

    Arjmand, Cina  
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    Xu, Yingfu  
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    Shidqi, Kevin  
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    Dobrita, Alexandra  
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    Vadivel, Kanishkan  
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    Detterer, Paul  
    Proceedings paper
    2024, 2024 International Conference on Neuromorphic Systems, 2024-07-30, p.94-101

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