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Wednesday, January 16, 2019
| Time | Event | |
| 09:00 - 09:30 | Welcome & Coffee | |
| 09:30 - 10:30 | Predictive Coding 2.0 - Christopher Summerfield | |
| 10:30 - 11:30 | Predictive coding networks for supervised learning - Rafal Bogacz | |
| 11:30 - 12:00 | Coffee Break | |
| 12:00 - 13:00 | Is Mental illness a deficit in predictive processing? - Peggy Series | |
| 13:00 - 14:00 | Lunch at the EITN | |
| 14:00 - 15:00 | Active Inference: Challenges & opportunities of computing ‘like a brain’ - Rosalyn Moran | |
| 15:00 - 16:00 | Experimental data on Dendritic Spikes provide a rule for Supervised Learning with Spiking Neurons - Arjun Rao | |
| 16:00 - 16:30 | Coffee break | |
| 16:30 - 17:30 | Round table |
Thursday, January 17, 2019
| Time | Event | |
| 09:00 - 09:30 | Welcome & Coffee | |
| 09:30 - 10:30 | tba - Mate Lengyel | |
| 10:30 - 11:30 | Predictive coding in deep, unsupervised networks: modelling, experiments and implications for understanding cognition - Cyriel Pennartz | |
| 11:30 - 12:00 | Coffee break | |
| 12:00 - 13:00 | Cortical circuitry of internal models in the mouse - Georg Keller | |
| 13:00 - 14:00 | Lunch at the EITN | |
| 14:00 - 15:00 | Predictive coding in layers of visual cortex during mental comparison and visual room navigation - Lars Muckli |
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