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