CORDIC-SNN: On-FPGA STDP Learning With Izhikevich Neurons von Heidarpur, Moslem, Ahmadi, Arash, Ahmadi, Majid, Rahimi Azghadi, Mostafa

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Computer vision and deep learning for fish classification in underwater habitats: A survey von Saleh, Alzayat, Sheaves, Marcus, Rahimi Azghadi, Mostafa

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Automated Machine Learning for Healthcare and Clinical Notes Analysis von Mustafa, Akram, Rahimi Azghadi, Mostafa

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A Hybrid CMOS-Memristor Neuromorphic Synapse von Rahimi Azghadi, Mostafa, Linares-Barranco, Bernabe, Abbott, Derek, Leong, Philip H. W.

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Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures von Lammie, Corey, Hamilton, Tara Julia, van Schaik, Andre, Rahimi Azghadi, Mostafa

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Weakly supervised underwater fish segmentation using affinity LCFCN von Laradji, Issam H., Saleh, Alzayat, Rodriguez, Pau, Nowrouzezahrai, Derek, Azghadi, Mostafa Rahimi, Vazquez, David

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Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges von Rahimi Azghadi, Mostafa, Iannella, Nicolangelo, Al-Sarawi, Said F., Indiveri, Giacomo, Abbott, Derek

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Design and analysis of efficient QCA reversible adders von Hashemi, Sara, Rahimi Azghadi, Mostafa, Navi, Keivan

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Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge von Lammie, Corey, Olsen, Alex, Carrick, Tony, Rahimi Azghadi, Mostafa

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Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing von Rahimi Azghadi, Mostafa, Chen, Ying-Chen, Eshraghian, Jason K., Chen, Jia, Lin, Chih-Yang, Amirsoleimani, Amirali, Mehonic, Adnan, Kenyon, Anthony J., Fowler, Burt, Lee, Jack C., Chang, Yao-Feng

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How to track and segment fish without human annotations: a self-supervised deep learning approach von Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, Rahimi Azghadi, Mostafa

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Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing von Yang, Shuangming, Wang, Jiang, Deng, Bin, Azghadi, Mostafa Rahimi, Linares-Barranco, Bernabe

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CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning von Yang, Shuangming, Wang, Jiang, Zhang, Nan, Deng, Bin, Pang, Yanwei, Azghadi, Mostafa Rahimi

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Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts von Lammie, Corey, Xiang, Wei, Rahimi Azghadi, Mostafa

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Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks von Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Walters, Ben, Rahimi Azghadi, Mostafa, Amirsoleimani, Amirali, Genov, Roman

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A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits von Walters, Ben, Jacob, Mohan V., Amirsoleimani, Amirali, Rahimi Azghadi, Mostafa

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A neuromorphic VLSI design for spike timing and rate based synaptic plasticity von Rahimi Azghadi, Mostafa, Al-Sarawi, Said, Abbott, Derek, Iannella, Nicolangelo

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Applications of deep learning in fish habitat monitoring: A tutorial and survey von Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, Rahimi Azghadi, Mostafa

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Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity von Rahimi Azghadi, Mostafa, Iannella, Nicolangelo, Al-Sarawi, Said, Abbott, Derek

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Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review von Vos, Gideon, Trinh, Kelly, Sarnyai, Zoltan, Rahimi Azghadi, Mostafa

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