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  1. 1
    Deep Learning and Knowledge Representation in Brain-Inspired Spiking Neural Networks for Brain-Computer Interfaces
    “...Auckland University of Technology,...”
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  2. 2
    Brain- and Quantum Inspired Mathematical and Computational Models of Spiking Neural Networks for Deep Learning of Spatio-Temporal Data
    by Bahrami, Helena
    Published 2021
    “...Auckland University of Technology,...”
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  3. 3
    Neuromorphic computational models for machine learning and pattern recognition from multi-modal time-series data
    by Sengupta, Neelava
    Published 2018
    “...Auckland University of Technology,...”
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  4. 4
    A framework for the integration of the Emotiv EEG System into the NeuCube spiking neural network environment for robotics control
    by Wang, Jianfei
    Published 2015
    “...Auckland University of Technology,...”
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  5. 5
    Computational Modelling of Spatio-Temporal EEG Brain Data with Spiking Neural Networks
    by Capecci, Elisa
    Published 2016
    “...Auckland University of Technology,...”
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  6. 6
    Development of a new computational model for mapping, learning and mining of 3D spatio-temporal fMRI data
    by Murli, Norhanifah
    Published 2016
    “...Auckland University of Technology,...”
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  7. 7
    Comparative Analysis of Traditional Machine Learning Methods and Spiking Neural Networks for Spatio-temporal Data Mining
    by Nayak, Parag Ganesh
    Published 2016
    “...Auckland University of Technology,...”
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