Tuesday, January 14, 2020

Time Event  
08:45 - 09:00 Reception open - Coffee & Croissants  
09:00 - 11:50 Detailed Models  
09:00 - 09:10 Welcome - Marja-Leena Linne (FI)  
09:10 - 09:50 Modeling synaptic plasticity at molecular, cellular and network levels - Ausra Saudargiene (LSMUNI, lt)  
09:50 - 10:00 Discussion  
10:00 - 10:20 Break (coffee, tea, mineral water)  
10:20 - 11:00 Towards a unifying model of synaptic plasticity: LTP and LTD of pyramidal cell connections - Giuseppe Chindemi (EPFL)  
11:00 - 11:10 Discussion  
11:10 - 11:40 Reward learning – insights from subcellular level modeling - Jeanette Hellgren (KTH, SE)  
11:40 - 11:50 Discussion  
11:50 - 13:20 Warm Buffet Lunch at the venue  
13:20 - 17:30 Data and Phenomenological Models  
13:20 - 14:00 Exploring the learning principle in the brain - Taro Toyoizumi (Tokyo)  
14:00 - 14:10 Discussion  
14:10 - 14:40 Paradoxical Results of Long-Term Potentiation explained by Voltage-based Plasticity Rule - Claire Meissner-Bernard (FMI Basel)  
14:40 - 14:50 Discussion  
14:50 - 15:20 Modeling spine dynamics and synaptic plasticity - Wulfram Gerstner (EPFL)  
15:20 - 15:30 Discussion  
15:30 - 16:00 Break (coffee, tea, mineral water)  
16:00 - 16:40 Unconventional NMDA Receptor Signalling at Neocortical Synapses - Jesper Sjostrom (McGill)  
16:40 - 16:50 Discussion  
16:50 - 17:20 Neuroglia in brain functions and plasticity: Experiments and modeling - Marja-Leena Linne (FI)  
17:20 - 17:30 Discussion  
17:30 - 17:45 Organizational Information  

Wednesday, January 15, 2020

Time Event  
08:30 - 09:00 Reception - Coffee & Croissants  
09:00 - 10:40 Spines and Dendrites  
09:00 - 09:40 Dendritic plasticity driven by spontaneous activity organizes synaptic inputs - Jan Kirchner (MPI)  
09:40 - 09:50 Discussion  
09:50 - 10:30 Gating synaptic plasticity by neuromodulation in cortical networks - Katharina Wilmes (Imperial College London)  
10:30 - 10:40 Discussion  
10:40 - 11:00 Break (coffee, tea, mineral water)  
11:00 - 17:00 Deep Nets and Neuroscience  
11:00 - 11:40 Deep intelligence emerges through data-compatible plasticity models in recurrent spiking neural networks - Guillaume Bellec (Graz)  
11:40 - 11:50 Discussion  
11:50 - 12:20 A synaptic plasticity rule that takes account of stimulus reliabilities - Walter Senn (BERN)  
12:20 - 12:30 Discussion  
12:30 - 14:00 Warm Buffet Lunch at the venue  
14:00 - 14:40 Biologically plausible deep learning with direct reward reinforcement learning - Sander Bohte (CWI)  
14:40 - 14:50 Discussion  
14:50 - 15:30 Emergence of Separable Geometry in Deep Networks and the Brain - SueYeon Chung (Columbia Univ and MIT)  
15:30 - 15:40 Discussion  
15:40 - 16:10 Computational imprecisions in reward-guided learning - Charles Findling (ENS Paris, Fr)  
16:10 - 16:20 Discussion  
16:20 - 17:00 Break (coffee, tea, mineral water)