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G C Qiao

Showing results (1-10 of 3) with videos related to

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IEEE Transactions on Biomedical Circuits and Systems|July 5, 2023
Achieving High Core Neuron Density in a Neuromorphic Chip Through Trade-off Among Area, Power Consumption, and Data Access BandwidthP J Zhou, Y Zuo, G C Qiao, et al.
IEEE Transactions on Biomedical Circuits and Systems|September 23, 2022
A Co-Designed Neuromorphic Chip With Compact (17.9K F<sup>2</sup>) and Weak Neuron Number-Dependent Neuron/Synapse ModulesS G Hu, G C Qiao, X K Liu, et al.
IEEE Transactions on Biomedical Circuits and Systems|October 25, 2023
Floating-Point Approximation Enabling Cost-Effective and High-Precision Digital Implementation of FitzHugh-Nagumo Neural NetworksY Zuo, N Ning, G C Qiao, et al.
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Showing results (1-10 of 3) with videos related to

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Pageof 1
IEEE Transactions on Biomedical Circuits and Systems|July 5, 2023
Achieving High Core Neuron Density in a Neuromorphic Chip Through Trade-off Among Area, Power Consumption, and Data Access BandwidthP J Zhou, Y Zuo, G C Qiao, et al.
IEEE Transactions on Biomedical Circuits and Systems|September 23, 2022
A Co-Designed Neuromorphic Chip With Compact (17.9K F<sup>2</sup>) and Weak Neuron Number-Dependent Neuron/Synapse ModulesS G Hu, G C Qiao, X K Liu, et al.
IEEE Transactions on Biomedical Circuits and Systems|October 25, 2023
Floating-Point Approximation Enabling Cost-Effective and High-Precision Digital Implementation of FitzHugh-Nagumo Neural NetworksY Zuo, N Ning, G C Qiao, et al.
Pageof 1