Monday, March 12, 2018

Time Event  
09:30 - 10:00 Welcome coffee & croissants  
10:00 - 10:30 Introduction : From Neuroscience to Machine Learning - André Grüning  
10:30 - 12:00 Coming from the Neuroscience End  
10:30 - 11:15 From adult dendate gyrus neurogenesis to unsupervised clustering - Olivia Gozel  
11:15 - 12:00 Suggestions from low-level neuroscience for machine intelligence - Leslie Smith  
12:00 - 12:30 Discussion  
12:30 - 14:00 Lunch at the Institute  
14:00 - 17:30 Learning in Next Generation Systems  
14:00 - 14:45 Ups and downs of implementing a new learning rule on SPiNNaker - Anna Bulanova  
14:45 - 15:30 Event-driven learning in spiking neural networks - Bipin Rajendran  
15:30 - 16:00 Coffee break  
16:00 - 16:45 One foot in each world : reflections on bridging the gap - Joni Dambre  
16:45 - 17:45 Round-table discussion - Challenges for neuroscience and bio-inspired ML  

Tuesday, March 13, 2018

Time Event  
09:00 - 09:15 Welcome coffee & croissants  
09:15 - 10:00 Deep learning with spiking neural networks and applications for brain data modelling (video conference) - Nikola Kasabov  
10:00 - 12:15 Learning Algorithms and their Foundations  
10:00 - 10:45 Lagrangian mechanics for real-time error-backpropagation across multi-areal cortical circuits - Dominik Dold  
10:45 - 11:30 First-Spike Encoding in Multilayer Spiking Neural Networks - Brian Gardner  
11:30 - 12:15 Spike-based reinforcement learning in continuous state and action space - Eleni Vasilaki  
12:15 - 13:45 Lunch at the Institute  
13:45 - 16:30 Applications and Machine Learning  
13:45 - 14:30 Beyond predictive coding : deciding what and when to (un)learn in a closed sensorimotor loop - Yulia Sandamirskaya  
14:30 - 15:15 Learning sparse codes and predictive context with compartmentalized inputs - Damien Drix  
15:15 - 15:45 Coffee break  
15:45 - 16:30 Learning in neurorobotics : from single neurons to behavior - Florian Walter  
16:30 - 17:30 Discussion