Walters, Ben, Lammie, Corey, Yang, Shuangming, Jacob, Mohan V., and Rahimi Azghadi, Mostafa (2024) Unsupervised character recognition with graphene memristive synapses. Neural Computing and Applications, 36. pp. 1569-1584.

Betz, Ulrich A.K., Arora, Loukik, Assal, Reem A., Azevedo, Hatylas, Baldwin, Jeremy, Becker, Michael S., Bostock, Stefan, Cheng, Vinton, Egle, Tobias, Ferrari, Nicola, Schneider-Futschik, Elena K., Gerhardy, Stefan, Hammes, Alexandra, Harzheim, Achim, Herget, Thomas, Jauset, Cristina, Kretschmer, Simon, Lammie, Corey, Kloss, Nina, Fernandes, Steve Marquis, Mitrofan, Claudia-Gabriela, Myrgorodska, Iuliia, Nedbalek, Daniela, Neumann, Siegfried G., Paffenholz, Stella, Ponce, Laia Pascual, Rogell, Birgit, Savic, Dragana, Velikova, Gergana, Schumacher, Christian, Weisshaar, Nina, Yahya, Mohammadzadeh, Yang, Joshua Y.C., and Zhao, Guoping (2023) Game changers in science and technology - now and beyond. Technological Forecasting & Social Change, 193. 122588.

Walters, B., Lammie, C., Eshraghian, J., Yakopcic, C., Taha, T., Genov, R., Jacob, M.V., Amirsoleimani, A., and Rahimi Azghadi, M. (2023) Memristive Devices for Neuromorphic and Deep Learning Applications. In: Zho, Ye, (ed.) Advanced Memory Technology: Functional Materials and Devices. Optical, Electronic and Magnetic Materials . Royal Society of Chemistry, London, United Kingdom, pp. 680-704.

Li, Chenqi, Lammie, Corey, Amirsoleimani, Amirali, Rahimi Azghadi, Mostafa, and Genov, Roman (2023) Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks [Formula presented]. Software Impacts, 15 (March). 100473.

Zhang, Tim, Rahimi Azghadi, Mostafa, Lammie, Corey, Amirsoleimani, Amirali, and Genov, Roman (2023) Spike sorting algorithms and their efficient hardware implementation: A comprehensive survey. Journal of Neural Engineering, 20 (2). 021001.

Lammie, Corey, Eshraghian, Jason K., Li, Chenqi, Amirsoleimani, Amirali, Genov, Roman, Lu, Wei D., and Azghadi, Mostafa Rahimi (2022) Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. In: Proceedings of the IEEE International Symposium on Circuits and Systems. pp. 1107-1111. From: ISCAS 2022: IEEE International Symposium on Circuits and Systems, 27 May - 1 June 2022, Austin, TX, USA.

Lammie, Corey, Xiang, Wei, Linares-Barranco, Bernabé, and Rahimi Azghadi, Mostafa (2022) MemTorch: an open-source simulation framework for memristive deep learning systems. Neurocomputing, 485. pp. 124-133.

Lammie, Corey, Xiang, Wei, and Rahimiazghadi, Mostafa (2022) Modeling and simulating in-memory memristive deep learning systems: an overview of current efforts. Array, 13. 100116.

Eshraghian, Jason K., Lammie, Corey, Azghadi, Mostafa Rahimi, and Lu, Wei D. (2022) Navigating Local Minima in Quantized Spiking Neural Networks. In: Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems. pp. 352-355. From: AICAS 2022: IEEE International Conference on Artificial Intelligence Circuits and Systems, 13-15 June 2022, Incheon, Republic of Korea.

Li, Chenqi, Lammie, Corey, Dong, Xuening, Amirsoleimani, Amirali, Azghadi, Mostafa Rahimi, and Genov, Roman (2022) Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. IEEE Transactions on Biomedical Circuits and Systems, 16 (4). pp. 609-625.

Zhang, Tim, Lammie, Corey, Azghadi, Mostafa Rahimi, Amirsoleimani, Amirali, Ahmadi, Majid, and Genov, Roman (2022) Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. In: Proceedings of the IEEE 65th Midwest Symposium on Circuits and Systems. From: MWSCAS 2022: IEEE 65th International Midwest Symposium on Circuits and Systems, 7-10 August 2022, Fukuoka, Japan.

Lammie, Corey (2022) Simulation and implementation of novel deep learning hardware architectures for resource constrained devices. PhD thesis, James Cook University.

Lammie, Corey, Rahimiazghadi, Mostafa, and Ielmini, Daniele (2021) Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations. Semiconductor Science and Technology, 36 (6). 065003.

Lammie, Corey, Eshraghian, Jason K., Lu, Wei D., and Rahimi Azghadi, Mostafa (2021) Memristive stochastic computing for deep learning parameter optimization. IEEE Transactions on Circuits and Systems II: Express Briefs, 68 (5). pp. 1650-1654.

Lammie, Corey, Xiang, Wei, and Rahimi Aghadi, Mostafa (2021) Towards memristive deep learning systems for real-time mobile epileptic seizure prediction. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2021: IEEE International Symposium on Circuits and Systems, 22-28 May 2021, Daegu, Korea.

Saleh, Alzayat, Laradji, Issam H., Lammie, Corey, Vazquez, David, Flavell, Carol Ann, and Rahimi Azghadi, Mostafa (2021) A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images. IEEE Journal of Biomedical and Health Informatics, 25. 10. pp. 3865-3873.

Eshraghain, Jason K., Lammie, Corey, and Rahimi Azghadi, Mostafa (2020) Biologically plausible contrast detection using a memristor array. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Rahimi Azghadi, Mostafa, Lammie, Corey, Eshraghian, Jason K., Payvand, Melika, Donati, Elisa, Linares-Barranco, Bernabe, and Indiveri, Giacomo (2020) Hardware implementation of deep network accelerators towards healthcare and biomedical applications. IEEE Transactions on Biomedical Circuits and Systems, 14 (6). pp. 1138-1159.

Lammie, Corey, and Rahimi Azghadi, Mostafa (2020) Live demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for weed classification at the edge. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Lammie, Corey, and Rahimi Azghadi, Mostafa (2020) MemTorch: a simulation framework for deep memristive cross-bar architectures. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Lammie, Corey, Xiang, Wei, and Rahimi Azghadi, Mostafa (2020) Training progressively Binarizing Deep Networks using FPGAs. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Lammie, Corey, Xiang, Wei, and Azghadi, Mostafa Rahimi (2019) Accelerating deterministic and stochastic binarized neural networks on FPGAS using OpenCL. In: Procedings of the International Midwest Symposium on Circuits and Systems. pp. 626-629. From: MWSCAS 2019: IEEE 62nd International Midwest Symposium on Circuits and Systems, 4-7 August 2019, Dallas, TX, USA.

Lammie, Corey, Hamilton, Tara Julia, van Schaik, André, and Rahimi Azghadi, Mostafa (2019) Efficient FPGA implementations of pair and triplet-based STDP for neuromorphic architectures. IEEE Transactions on Circuits and Systems I: Regular Papers, 66 (4). pp. 1558-1570.

Lammie, Corey, Olsen, Alex, Carrick, Tony, and Rahimi Azghadi, Mostafa (2019) Low-power and high-speed deep FPGA inference engines for weed classification at the edge. IEEE Access, 7. pp. 51171-51184.

Lammie, Corey, and Azghadi, Mostafa Rahimi (2019) Stochastic computing for low-power and high-speed deep learning on FPGA. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2019: IEEE International Symposium on Circuits and Systems, 26-29 May 2019, Sapporo, Japan.

Lammie, Corey, Krestinskaya, Olga, James, Alex, and Rahimi Azghadi, Mostafa (2019) Variation-aware binarized memristive networks. In: Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems. pp. 490-493. From: 2019 ICECS: 26th IEEE International Conference on Electronics, Circuits and Systems, 27-29 November 2019, Genoa, Italy.

Lammie, Corey, Hamilton, Tara, and Azghadi, Mostafa Rahimi (2018) Unsupervised character recognition with a simplified FPGA neuromorphic system. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 27-30 May 2018, Florence, Italy.

Lammie, Corey, Hamilton, Tara, and Azghadi, Mostafa Rahimi (2018) Live demonstration: Unsupervised character recognition with a FPGA neuromorphic system. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2018: IEEE International Symposium on Circuits and Systems, 27-30 May 2018, Florence, Italy.

Lammie, Corey, and Rahimiazghadi, Mostafa (2017) Digital, analog, and memristive implementation of Spike-based Synaptic Plasticity. In: Abstracts from the Systems & Computational Neuroscience Down Under Meeting. p. 46. From: SCiNDU: Systems & Computational Neuroscience Down Under, 13-15 December 2017, Brisbane, QLD, Australia.