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Nathan Matthew Scott

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affiliation: Auckland University of Technology, New Zealand

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Journal Articles

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2016
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  - journals/nn/KasabovSTMSCODM16
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  - https://dblp.org/rec/journals/nn/KasabovSTMSCODM16
Nikola K. Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud S. Mahmoud, Zeng-Guang Hou, Jie Yang:
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 78: 1-14 (2016)

Conference and Workshop Papers

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2016
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Nikola K. Kasabov, Neelava Sengupta, Nathan Matthew Scott:
From von neumann, John Atanasoff and ABC to Neuromorphic computation and the NeuCube spatio-temporal data machine. IEEE Conf. on Intelligent Systems 2016: 15-21
2014
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  - conf/biorob/HuHCKS14
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Jin Hu, Zeng-Guang Hou, Yixiong Chen, Nikola K. Kasabov, Nathan Matthew Scott:
EEG-based classification of upper-limb ADL using SNN for active robotic rehabilitation. BioRob 2014: 409-414
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  - conf/ijcnn/TaylorSKCTSCHH14
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Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou:
Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. IJCNN 2014: 3221-3225
2013
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  - conf/iconip/KasabovHCST13
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Nikola K. Kasabov, Jin Hu, Yixiong Chen, Nathan Matthew Scott, Yulia Turkova:
Spatio-temporal EEG Data Classification in the NeuCube 3D SNN Environment: Methodology and Examples. ICONIP (3) 2013: 63-69
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Nathan Matthew Scott, Nikola K. Kasabov, Giacomo Indiveri:
NeuCube Neuromorphic Framework for Spatio-temporal Brain Data and Its Python Implementation. ICONIP (3) 2013: 78-84

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