The following contributions from the AI/ML and Neuroscience areas were selected as Best Papers, and the winners were announced during the ENNS General Assembly on September 17, 2026.
Artificial Intelligence/Machine Learning Area
Harmonic and Entropy Neural Modeling with Demographic Fusion for Speech-Based Depression Detection
- Junkang Yang (University of Yamanashi)
- Hiromitsu Nishizaki (University of Yamanashi)
- Chee Siang Leow (University of Yamanashi)
- Lu Gan (Brunel University)
- Hongqing Liu (Chongqing University of Posts and Telecommunications)
Learning to Extrapolate in Industrial Data-Scarce Scenarios via Differential Ensemble Neural Networks
- Hao Huang (GE Vernova Advanced Research)
- Jinbo Cao (GE Vernova Advanced Research)
- John Karigiannis (GE Vernova Advanced Research)
Strengths and Limits of Foundation Models for Land Use Land Cover Classification
- Magali Egger (Université de Lausanne)
Neuroscience Area
A tool for Formal Verification of Probabilistic Spiking Neural Networks via Weight-Discretized Quotient Abstractions
- Nikan Zandian Jazi (Université Côte d’Azur)
- Elisabetta De Maria (Université Côte d’Azur)
- Christopher Leturc (Université Côte d’Azur)
Equivalence of approximation by networks of single- and multi-spike neurons
- Dominik Dold (University of Vienna)
- Philipp Petersen (University of Vienna)
A Dynamic Neural Field Model of Chronotopic Map Formation
Paulo Barbosa (Universidade do Minho)
Flora Ferreira (Universidade do Porto)
Estela Bicho (ALGORTIMI Research Centre, Universidade do Minho)
Wolfram Erlhagen (Universidade do Minho)