Sharing Our Research at IWANN 2025
Comparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniques
Comparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniques
Weโre thrilled to share a recent milestone in our research journey: the presentation of our latest work at the 18th International Work-Conference on Artificial Neural Networks (IWANN 2025), held in the dynamic city of A Coruรฑa, Spain.
Our paper, titled โComparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniquesโ was featured during the conference and focuses on key advancements in the field of spiking neural networks (SNNs). Specifically, the study investigates the training of spiking neuron models using surrogate gradient techniques, proposes a new spiking layer implementation, and introduces an evaluation metric to support more informed architectural decisions.
This contribution reflects our ongoing commitment to exploring bio-inspired, energy-efficient alternatives to conventional deep learning โ a direction that aligns closely with Owltownโs mission to support sustainable and cutting-edge AI research.
This achievement would not have been possible without the outstanding collaboration and guidance of:
I am deeply grateful for their mentorship and continued support throughout the project.
I also extend our heartfelt thanks to the Erasmus+ program, whose funding and support enabled this international research exchange with the TIC-145 research group at the University of Cรกdiz. The collaboration has been both enriching and inspiring.
Our appreciation goes as well to the administrative staff at the University of Sciences and Technology of Oran โ Mohamed Boudiaf (USTO-MB), whose support made it possible to attend and present at IWANN 2025 in person.
Weโre proud to share that this work will soon be published in the Lecture Notes in Computer Science (LNCS) series by Springer, and we will be releasing a ready-to-use framework based on our proposed implementation to benefit the wider research community.
To conclude this inspiring experience, we were honored to receive the Best Presentation โ Early Career Researcher Award, a recognition that motivates us to continue advancing research in the field of biologically inspired AI.
Stay tuned โ more exciting developments are coming soon ...