Article

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.

Dong, Xuening, Primeau, Louis, Genov, Roman, Rahimi Azghadi, Mostafa, and Amirsoleimani, Amirali (2023) Efficient Memristive Stochastic Differential Equation Solver. Advanced Intelligent Systems, 5 (8). 2300008.

Walters, Ben, Jacob, Mohan V., Amirsoleimani, Amirali, and Rahimi Azghadi, Mostafa (2023) A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits. Advanced Intelligent Systems, 5 (10). 2300136.

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, 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.

Aghnout, Soraya, Karimi, Gholamreza, and Rahimiazghadi, Mostafa (2017) Modeling triplet spike-timing-dependent plasticity using memristive devices. Journal of Computational Electronics, 16 (2). pp. 401-410.

Nguyen, Cong Dao, El Kass, Abdallah, Rahimi Azghadi, Mostafa, Jin, Craig T., Scott, Jonathan, and Leong, Philip H.W. (2017) An enhanced MOSFET threshold voltage model for the 6–300 K temperature range. Microelectronics Reliability, 69. pp. 36-39.

Rahimiazghadi, Mostafa, Linares-Barranco, Bernabe, Abbott, Derek, and Leong, Philip (2017) A hybrid CMOS-memristor neuromorphic synapse. IEEE Transactions on Biomedical Circuits and Systems, 11 (2). pp. 434-444.

Book Chapter

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.

Conference Item

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.

Thesis

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