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.

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.

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.

Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Walters, Ben, Rahimi Azghadi, Mostafa, Amirsoleimani, Amirali, and Genov, Roman (2023) STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality. In: Proceedings of the 2023 IEEE Biomedical Circuits and Systems Conference. From: BioCAS 2023: IEEE Biomedical Circuits and Systems, 19-21 October 2023, Toronto, Canada.

Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Walters, Ben, Rahimi Azghadi, Mostafa, Amirsoleimani, Amirali, and Genov, Roman (2023) Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 13 (4). pp. 1083-1093.