Parameter‑Efficient Image Classification with Convolutional Spiking Neural Network via Fast Sigmoid Surrogate Gradient Descent
Published in 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025
This work introduces a novel method for image classification using convolutional spiking neural networks and a fast sigmoid surrogate gradient descent, achieving parameter efficiency and improved performance. See the full paper at the provided DOI link.
Recommended citation: Datta, J., Sarwar, F. A., Rabbi, R., Saha, P., Alam, M. G. R., Uddin, J., & Zereen, A. N. (2025). "Parameter‑Efficient Image Classification with Convolutional Spiking Neural Network via Fast Sigmoid Surrogate Gradient Descent." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, pp. 1‑6. IEEE. doi: 10.1109/ECCE64574.2025.11013059.
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