Neuromorphic Algorithms and Hardware

Related Publications:

Book Chapters:

• M. E. Fouda, F. Kurdahi, A. Eltawil, E. Neftci, “Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective", Memristive Devices for Brain-Inspired Computing, Elsevier, 2020.

Journals:

• W. Guo, M. E. Fouda, A. Eltawil and K. Salama, “BackLink: Supervised Local Training with Backward Links " ArXiv.
• W. Guo, M. E. Fouda, A. Eltawil and K. Salama, “ Spiking Temporal Online Local Learning for Fast and Efficient Neuromorphic systems", Submitted to TVLSI.
• W. Guo, M. E. Fouda, A. Eltawil and K. Salama, “Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time" Under review.
• M. Vijjapu, M. E. Fouda, et al. “A Flexible Capacitive Photoreceptor for the Biomimetic Retina" Light: Science & Applications, Nature, 2021. Featured in KAUST Discovery and IEEE Spectrum.
• W. Guo, M. E. Fouda, A. Eltawil and K. Salama, “Neural Coding in Spiking Neural Networks: a Comparative Study for Robust Neuromorphic Systems", Frontiers of Neuroscience, 2021.
• W. Guo, H. Yantir, M. E. Fouda, A. Eltawil and K. Salama "Towards the Optimal Design and FPGA Implementation of Spiking Neural Networks" IEEE TNNLS, 2021, featured at KAUST News.
• W. Guo, M. E. Fouda, H. Yantir, A. Eltawil and K. Salama "Unsupervised adaptive weight pruning for energy-efficient neuromorphic systems" Frontiers of Neuroscience, 2020.
• W. Guo, H. Yantir, M. E. Fouda, A. Eltawil and K. Salama "Towards Efficient Neuromorphic Hardware: Unsupervised Dynamic Neuron Pruning", Electronics, 2020.
• M. Payvand*, M. E. Fouda*, F. Kurdahi, A. Eltawil, and E. Neftci, “On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks", IEEE JETCAS, 2020, *Equal Contribution.

Conferences:

• W. Guo, M. E. Fouda, A. Eltawil, and K. Salama, “Efficient Hardware Implementation for Online Local Learning in Spiking Neural Networks", AICAS 2022.
• Malika Payvand*, M. E. Fouda*, F. Kurdahi, A. Eltawil, and E. Neftci, “Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays", AICAS 2020, *Equal Contribution.
• M. E. Fouda, E. Neftci, A. Eltawil, and F. Kurdahi, “Effect of Asymmetric Nonlinearity Dynamics and Endurance in RRAMs on Spiking Neural Network Performance", Asilomar Conf. Sig., Sys. and Comp., 2019.

Patents:

• M. Vijjapu, K. Salama, M. E. Fouda, A. Eltawil, B. Ooi, “Perovskite And Polymer Composite-Based Flexible Capacitive Photoreceptor For Neuromorphic Vision Sensors" U.S. Provisional Application Serial No.63/255,556, filed on Oct. 14, 2021.
• M. E. Fouda, E. Neftci, F. Kurdahi, A. Eltawil and M. Payvand, “Error-triggered Learning for Efficient Memristive Neuromorphic Hardware" U.S. Provisional Application Serial No.63/116,271, filed on Nov. 20, 2020.