Overview
Date:  March 27 - 28, 2025

Location:  LMU Munich, Geschwister-Scholl-Platz 1, Room F107 

The Spiking Neural Networks (SNN) Workshop focuses on advancing the understanding and implementation of spiking neural networks—a biologically-inspired computational paradigm that leverages spiking activity patterns to process information. The workshop emphasizes the transformative potential of SNNs, particularly when deployed on neuromorphic hardware, which offers the potential for remarkable energy-efficiency benefits. By bringing together leading researchers from across Europe, it aims to foster a collaborative and interactive environment for discussing emerging trends and challenges in the field of SNN development, offering a comprehensive perspective on their potential for real-world applications.

The workshop will cover a broad range of topics, ranging from neuroscience-inspired principles and mathematical models of SNNs to their applications in neuromorphic engineering. The following key topics will be adressed: 

• Theory of SNNs. Exploring mathematical frameworks to study the computational power, energy-efficiency, and other unique properties of SNNs. For what types of problems can SNNs offer clear advantages?

• Learning. Addressing critical challenges of bridging the performance gap between ANNs and SNNs.

• Neuromorphic Hardware. Focusing on implementation of SNNs on neuromorphic hardware. What benefits can neuromorphic hardware provide in terms of energy-efficiency, scalability, and performance?

• Neuroscience Perspective. Examining how SNNs can help us better understand the brain's amazing computational power and how insights from neuroscience can enhance the design of artificial SNNs.

By addressing theoretical as well as practical aspects of SNNs, the event aims to provide participants with a deep understanding of their potential for energy-efficient AI ("Green AI"). We hope that this workshop will promote interdisciplinary collaboration and inspire ongoing advancements in the field.

Invited Speakers

• Prof. Dr. Hussam Amrouch (TUM) 

• Dr. Sebastian Billaudelle (University of Zurich and ETH Zurich)

• Prof. Dr. Holger Boche (TUM)

• Prof. Dr. Sander Bohte (CWI Amsterdam)

• Dr. Dominik Dold (University of Vienna)

• Prof. Dr. Daniel Goodman (Imperial College London)

• Prof. Dr. Wulfram Gerstner (EPFL)

• Dr. Laura Kriener (University of Zurich and ETH Zurich)

• Prof. Dr. Gitta Kutyniok (LMU Munich)

• Prof. Dr. Wolfgang Maass (TU Graz)

• Prof. Dr. Timothée Masquelier (CNRS)

• Prof. Dr. Emre Neftci (RWTH Aachen)

• Matthias Ochs (TUM)

• Prof. Dr. Friedemann Zenke (University of Basel)

Schedule

Registration

Please register here. 

Organizers

The event is organized by the following members of the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU Munich:

•  Ernesto Araya Valdivia

• Adalbert Fono

• Gitta Kutyniok

• Manjot Singh 

• Elisa Tottoli

This workshop is  supported by: