A Neuromorphic-Hardware Oriented Bio-Plausible Online-Learning Spiking Neural Network Model von Qiao, G. C., Hu, S. G., Wang, J. J., Zhang, C. M., Chen, T. P., Ning, N., Yu, Q., Liu, Y.

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A versatile neuromorphic system based on simple neuron model von Zhang, C. M., Qiao, G. C., Hu, S. G., Wang, J. J., Liu, Z. W., Liu, Y. A., Yu, Q., Liu, Y.

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A memristor-based transient chaotic neural network model and its application von Liu, Y. A., Yu, Q., Hu, S. G., Qiao, G. C., Liu, Y.

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Fullerene-Inspired Efficient Neuromorphic Network-on-Chip Scheme von Zhou, P. J., Yu, Q., Chen, M., Qiao, G. C., Zuo, Y., Zhang, Z., Liu, Y., Hu, S. G.

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Quantized STDP-based online-learning spiking neural network von Hu, S. G., Qiao, G. C., Chen, T. P., Yu, Q., Liu, Y., Rong, L. M.

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An improved memristor model connecting plastic synapse and nonlinear spiking neuron von Hu, S G, Qiao, G C, Liu, Y A, Rong, L M, Yu, Q, Liu, Y

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Achieving High Core Neuron Density in a Neuromorphic Chip Through Trade-off Among Area, Power Consumption, and Data Access Bandwidth von Zhou, P. J., Zuo, Y., Qiao, G. C., Zhang, C. M., Zhang, Z., Meng, L. W., Yu, Q., Liu, Y., Hu, S. G.

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Floating-Point Approximation Enabling Cost-Effective and High-Precision Digital Implementation of FitzHugh-Nagumo Neural Networks von Zuo, Y., Ning, N., Qiao, G. C., Wu, J. H., Bao, J. H., Zhang, X. Y., Bai, J., Wu, F. H., Liu, Y., Yu, Q., Hu, S. G.

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A co-designed neuromorphic chip with compact (17.9K F2) and weak neuron number-dependent neuron/synapse modules von Hu, S. G., Qiao, G. C., Liu, X. K., Liu, Y. H., Zhang, C. M., Zuo, Y., Zhou, P. J., Liu, Y. A., Ning, N., Yu, Q., Liu, Y.

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An efficient pruning and fine-tuning method for deep spiking neural network von Meng, L. W., Qiao, G. C., Zhang, X. Y., Bai, J., Zuo, Y., Zhou, P. J., Liu, Y., Hu, S. G.

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Evaluation of experimental designs and spatial analyses in wheat breeding trials von QIAO, C. G, BASFORD, K. E, DELACY, I. H, COOPER, M

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Advantage of single-trial models for response to selection in wheat breeding multi-environment trials von Qiao, C.G, Basford, K.E, DeLacy, I.H, Cooper, M

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The Mean of the Inverse of a Punctured Normal Distribution and Its Application von Lai, C. D., Wood, G. R., Qiao, C. G.

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Direct training of hardware-friendly weight binarized spiking neural network with surrogate gradient learning towards spatio-temporal event-based dynamic data recognition von Qiao, G.C., Ning, N., Zuo, Y., Hu, S.G., Yu, Q., Liu, Y.

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Two-stage clustering in genotype-by-environment analyses with missing data von GODFREY, A. J. R., WOOD, G. R., GANESALINGAM, S., NICHOLS, M. A., QIAO, C. G.

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Batch normalization-free weight-binarized SNN based on hardware-saving IF neuron von Qiao, G.C., Ning, N., Zuo, Y., Zhou, P.J., Sun, M.L., Hu, S.G., Yu, Q., Liu, Y.

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STBNN: Hardware-friendly spatio-temporal binary neural network with high pattern recognition accuracy von Qiao, G.C., Hu, S.G., Chen, T.P., Rong, L.M., Ning, N., Yu, Q., Liu, Y.

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Erratum: An improved memristor model connecting plastic synapse and nonlinear spiking neuron (2019 J. Phys. D: Appl. Phys. 52 275402) von Hu, S G, Qiao, G C, Liu, Y A, Rong, L M, Yu, Q, Liu, Y

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Estimating a binomial proportion from several independent samples von Qiao, C. G., Wood, G. R., Lai, C. D.

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A 0.96pJ/SOP, 30.23K-neuron/mm^2 Heterogeneous Neuromorphic Chip With Fullerene-like Interconnection Topology for Edge-AI Computing von Zhou, P. J, Yu, Q, Chen, M, Wang, Y. C, Meng, L. W, Zuo, Y, Ning, N, Liu, Y, Hu, S. G, Qiao, G. C

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