Deep Learning meets neuromorphic Hardware 2025

Program

The third international workshop on Deep Learning meets Neuromorphic Hardware will be hosted by ECML-PKDD 2025, in Porto (Portugal).

All times indicated in the schedule below are local times.

🗓️ September 15th, 2025 🕘 h2.00 pm - 🏛️ Room Level 2: Ribeira II

2.00 pm - 2.10 pm Opening remarks

2.10 pm - 3.15 pm Keynote talk by Miguel C. Soriano (IFISC, Palma de Mallorca, Spain) "Deep and recurrent hardware neural networks folded in time"

3.15 pm - 4 pm Poster spotlights

Introduction to each accepted contribution (3 minutes each)Papers ID: 4, 92, 95, 204, 229, 235, 320, 345, 348, 351, 384

4.00 pm - 4.30 pm Coffee break ☕

4.30 pm - 5.50 pm Poster exhibition

Papers ID: 4, 92, 95, 204, 229, 235, 320, 345, 348, 351, 384

5.50 pm - 6 pm Best paper ceremony and Closing remarks

List of Accepted contributions:

4 Convergence and scaling of Boolean-weight optimization for hardware reservoirs Louis Andreoli (FEMTO-ST); Stephane Chretien (Universite Lyon 2)*; Xavier Porte (Strathclyde University ); Daniel Brunner (FEMTO-ST)
92 Pathways Towards Integrating Dendritic Compartments and Oscillating Neuron Behavior On Neuromorphic Hardware Michael Siegl (Pro2Future GmbH)*; Michael Haslgrübler (Pro2Future GmbH)
95 Residual Reservoir Memory Networks Matteo Pinna (University of Pisa)*; Andrea Ceni (University of Pisa); Claudio Gallicchio (University of Pisa)
204 Hebb Alone Is Enough: Purely Excitatory Networks Self-Decorrelation via Local Plasticity Tanguy Cazalets (Ugent)*
229 An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons Sven Nitzsche (FZI Forschungszentrum Informatik)*; Alexandru Ionita (National University of Science and Technology Politehnica Buchares); Andreas Faust (FZI Forschungszentrum Informatik); Bogdan Ionescu (National University of Science and Technology Politehnica Buchares); Juergen Becker (Karlsruhe Institute of Technology)
235 Precise spike timing meets discrete time: discretization effects in spiking neural networks Aurora Micheli (Delft University of Technology)*; Alexandru Cojocaru (Delft University of Technology); Olaf Booij (Delft University of Technology); Nergis Tomen (Delft University of Technology)
320 Surrogate Gradient Descent based Spiking Intrusion Detection System for Edge Devices: A Performance study Dighanchal Banerjee (Tata Consultancy Services)*; Arun George (Tata Consultancy Services); Urmi Jana (Tata Consultancy Services); Sounak Dey (Tata Consultancy Services)
345 Fast and Effective Memristive-Friendly Reservoir Computing Cosku Can Horuz (University of Lübeck); Andrea Ceni (University of Pisa)*; Sebastian Otte (University of Lübeck); Claudio Gallicchio (University of Pisa)
348 Minimum Complexity Memristive-Friendly Echo State Network Marco Guiggi (University of Pisa); Andrea Ceni (University of Pisa)*; Claudio Gallicchio (University of Pisa)
351 Non-Dissipative Random Oscillators Networks through Negative Feedback Coupling Gioele Zerini (University of Pisa); Andrea Cossu (University of Pisa); Andrea Ceni (University of Pisa)*; Davide Bacciu (University of Pisa); Claudio Gallicchio (University of Pisa)
384 Modeling Diagonal State Space Models as Electric Circuits for Analog Neural Network Inference Matthias Bittner (Vienna University of Technology)*; Daniel Schnöll (TU Wien); Fabian Seiler (TU Wien); Matthias Wess (TU Wien); Axel Jantsch (TU Wien)

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