Guangzhi Tang
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1

Benchmarking of hardware-efficient real-time neural decodin..:

Hueber, Paul ; Tang, Guangzhi ; Sifalakis, Manolis...
Neuromorphic Computing and Engineering.  4 (2024)  2 - p. 024008 , 2024
 
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Open the box of digital neuromorphic processor: Towards eff..:

, In: 2023 IEEE International Symposium on Circuits and Systems (ISCAS),
Tang, Guangzhi ; Safa, Ali ; Shidqi, Kevin... - p. 1-5 , 2023
 
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Empirical study on the efficiency of Spiking Neural Network..:

, In: 2023 IEEE International Symposium on Circuits and Systems (ISCAS),
 
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A Spiking Neural Network Mimics the Oculomotor System to Co..:

Polykretis, Ioannis ; Tang, Guangzhi ; Balachandar, Praveenram.
IEEE Transactions on Medical Robotics and Bionics.  4 (2022)  2 - p. 520-529 , 2022
 
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Real-time Mapping on a Neuromorphic Processor:

, In: Proceedings of the Neuro-inspired Computational Elements Workshop,
 
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9

Reinforcement co-Learning of Deep and Spiking Neural Networ..:

, In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
 
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10

Introducing Astrocytes on a Neuromorphic Processor : Syn..:

, In: Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop,
 
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Spiking Neural Network on Neuromorphic Hardware for Energy-..:

, In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
 
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12

Gridbot : An autonomous robot controlled by a Spiking Ne..:

, In: Proceedings of the International Conference on Neuromorphic Systems,
 
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13

SENECA: building a fully digital neuromorphic processor, de..:

Guangzhi Tang ; Kanishkan Vadivel ; Yingfu Xu...
https://www.frontiersin.org/articles/10.3389/fnins.2023.1187252/full.  , 2023
 
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