Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Walters, Ben, Azghadi, Mostafa Rahimi, Genov, Roman, and Amirsoleimani, Amirali (2024) Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2024: IEEE International Symposium on Circuits and Systems, 19-22 May 2024, Singapore.

Walters, Ben, Rahimian Kalatehbali, Hamid, Cai, Zhengyu, Genov, Roman, Amirsoleimani, Amirali, Eshraghian, Jason, and Rahimi Azghadi, Mostafa (2024) Efficient sparse spiking auto-encoder for reconstruction, denoising and classification. Neuromorphic Computing and Engineering, 4 (3). 034005.

Walters, Ben, Cai, Zhengyu, Kalatehbali, Hamid Rahimian, Amirsoleimani, Amirali, Genov, Roman, Eshraghian, Jason, and Rahimi Azghadi, Mostafa (2024) Spiking Auto-Encoder Using Error Modulated Spike Timing Dependant Plasticity. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2024: IEEE International Symposium on Circuits and Systems, 19-22 May 2024, Singapore.

Walters, Ben, Kamel, Michael S.A., Jacob, Mohan V., and Rahimi Azghadi, Mostafa (2024) Sustainable vertically-oriented graphene-electrode memristors for neuromorphic applications. FlatChem, 48. 100755.

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.