Preliminary programme

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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