Programme

International Workshop on

Reliable and Sustainable Neuromorphic Hardware

28th to 30th of May 2025, York, UK

Wednesday 28th May

8:30 – 9:00

Registration

9:00 – 9:15

Welcome

9:15 – 10:05

Self-Organisation in Brain Development
Robin Hiesinger

(Session chair: Martin Trefzer)

10:05 – 10:30

Real-time Factor vs. Energy per Synaptic Event: a Cortical Network Model Drives Neuromorphic Computing
Johanna Senk

10:30 – 10:50

Coffee / Tea

10:50 – 11:40

Neuromorphic Systems: Sensor-Driven Insights into the Future
Heba Bevan

(Session chair: Jim Harkin)

11:40 – 12:05

NASIC: Fully Digital Neuromorphic Auditory Sensor Implemented on ASIC
Antonio Rios-Navarro

12:05 – 12:30

Bio-Inspired Neural CoDecs for Audio Compression using SNNs
Pedro Machado

12:30 – 14:00

Lunch

14:00 – 14:50

Towards Bio-Inspired Computer Vision
Victoria Clerico

(Session chair: Andrew Walter)

14:50 – 15:15

A Neuromorphic Multi-scale Approach for Real-Time Heart Rate and State Detection
Chiara DeLuca

15:15 – 15:40

Hybrid Resistive Switching – The Best of Filaments and Interfaces
Markus Hellenbrand

15:40 – 16:00

Coffee / Tea

16:00 – 16:25

Explaining Memristive Reservoirs: A Neuro Coding-Based Approach
Lidan Tan and Xinming Shi

(Session chair: Martin Trefzer)

16:25 – 16:50

Title TBC
Jennifer Hasler

16:50 – 17:05

Posters and Demos Opening

19:00

Dinner at the National Railway Museum

Thursday 29th May

8:30 – 9:00

Registration

9:00 – 9:50

SpiNNaker2: Large-scale Digital Neuromorphic Computing
Steve Furber

(Session chair: Andy Tyrrell)

9:50 – 10:15

Calcium-based Synaptic Plasticity on Analog Neuromorphic Platform BrainScaleS-2
Amani Atoui

10:15 – 10:40

Efficient Event-based Delay Learning in Spiking Neural Networks
Balazs Meszaros

10:40 – 11:00

Coffee / Tea

11:00 – 11:50

Brain-inspired Dynamic Sparsity in Neuromorphic AI Systems
Shih-Chii Liu

(Session chair: Liam McDaid)

11:50 – 12:15

Auto-adjoint method for Spiking Neural Networks
Thomas Nowotny and Jamie Knight

12:15 – 13:30

Lunch

13:30 – 14:20

Natively Flexible ML Chips at the Extreme Edge
Emre Özer

(Session chair: Shimeng Wu)

14:20 – 14:45

Developmental Graph Cellular Automata Can Grow Reservoirs
Matias Barandiaran and James Stovold

14:45 – 15:10

Post-processing Methods for Optimising Physical Reservoir Computers
Jonnel Jaurigue and Kathy Lüdge

15:10

Coffee / Tea

15:10 – 17:00

Poster and Demo Session

 

A Breakthrough in Low-Power AER Routing for Multicore Edge Neuromorphic Processors
Davide Bertozzi                     

A Controller for Adaptive Neuromorphic Sensing using Active Efficient Coding
Aheli Saha, Rene Schuster   

AISCA: AI-Specific Computing Architectures for Bridging the AI Performance Gap
Shady Agwa, Themis Prodromakis   

Biologically Inspired Spiking Neural Network for Autonomous Robot Control
William Betteridge, Andrew Walter, Andy Tyrrell, et al.        

Channel Estimation with Reservoir Computing
Mostafa Rahmani Ghourtani, Shimeng Wu, Junbo Zhao, Tian Gan

Detecting Processor Anomalies via Opcode Monitoring using Artificial Neural Microcircuits
Andrew Walter, Shimeng Wu, Andy Tyrrell, Martin Trefzer

End to end speech Classification using Reservoir Computing
Rinku Sebastian, Simon O'Keefe, Martin Trefzer

FeNN: A RISC-V vector processor for Spiking Neural Network acceleration
Zainab Aizaz, James Knight, Thomas Nowotny

Magic Fabric or Thread: Tradeoffs Between Memory and Compute in ESNs
David Griffin, et al.

ANTShapes: A Neuromorphic Dataset Generator for Anomaly Detection
Mike Middleton, Martin Trefzer          

Multi-Input Control Tasks in Delay-Feedback Reservoir Computing
Tian Gan, Alexander McDonnell, Susan Stepney, Martin Trefzer

NEST GPU Simulations Scale Up to Networks of Billions of Spiking Neurons and Trillions of Synapses
Jose Villamar, Johanna Senk, et al.

Neuromorphic Computing for Classifying Error Severity in System-on-Chip Architectures
Nidhin Thandassery, Liam McDaid, Malachi McElholm, Jim Harkin

Neuromorphic Computing for Resource-Efficient Autonomous Systems
Jonathan Woolett-Light, Martin Trefzer

Neuromorphic Quantum System: From Cortical Layers to “Dangling”
Qubit Networks
Xavier Laurent, Irene D'Amico

Nonlinear Dynamics of Coupled NEMS Resonators: Towards Physical Neuromorphic Reservoir Computing
Lianghong Ye, Klaus Peter Zauner, Mark Vousden

Sliding Window Training for Liquid State Machine
Shimeng Wu, Andrew Walter, Andy Tyrrell, Martin Trefzer  

Smart Watchdog Mechanism for Fault Detection in RISC-V
David Simpson, Liam McDaid, Jim Harkin                

Spiking Scallop: A Neuromorphic Model for Directional Sensing and Response in Biological Systems
Adam Gottesman, Shimeng Wu, Martin Trefzer, et al.

State-space Models for Sparse Geometric and Event Data
Anand Subramoney, Mark Schöne, Christian Mayr, et al.

17:00

York City Sightseeing Tour

Friday 30th May

8:30 – 9:00

Registration

9:00 – 9:50

Nervous Systems in Hardware
Martin Trefzer

(Session chair: Tian Gan)

9:50 – 10:15

STDP-Trained Spiking Neural Network Reliability Assessment Through Fault Injections
Zalfa Jouni and Haralampos Stratigopoulos

10:15 – 10:40

Kolmogorov Arnold Networks with Analogue Electronic Filters
Ian Vidamour, Matt Ellis, Eleni Vasilaki, Tom Hayward

10:40 – 11:00

Coffee / Tea

11:00 – 11:50

Co-Design for Neuromorphic Computing Systems
Catherine Schuman

(Session chair: Nidhin Thandassery)

11:50 – 12:15

Photonic Integrated Chaotic Microcavities for Extreme Machine Learning
Javier Porte Parera, Alessio Lugnan, Brigitta Duzs

12:15 – 13:05

Introduction to Neuromorphic Computing at Intel
Andrew Mallinson

13:05

Closing Remarks

Followed by

Lunch / Coffee / Tea / Networking