Vidéos des conférences
[ English ]
- Opening day 1 - A word from organizers and sponsors
- Dr Danilo Bzdok (Aachen University, Germany) "Statistics wars in imaging neuroscience:classical inference vs. pattern generalization"
- Dr Pamela Douglas (UCLA) "Building Brain Computational Models"
- Dr Irina Rish (IBM Watson Research, NY, USA) “Modeling Brain Dynamics: van der Pol,LSTMs and beyond”
- Brief student presentations (Selected from the abstract submissions)
- Dr Ben D. Huh (MIT-IBM Watson AI Lab, Cambridge, MA, USA) “Exploring the space ofspike-based computations”
- Dr Dan Yamins (NeuroAILab, Stanford Neurosciences Institute, CA, USA) “CognitivelyInspired Arstificial Intelligence for Neuroscience”
- Dr Yoshua Bengio (Mila/UdeM) "Inspiration from Brains for Deep Learning andInspiration from Deep Learning for Brains"
- Student presentations
- Round table discussion/debate
- Opening day 2 - A word from organizers and sponsors
- Dr Pascal Vincent (Mila/Facebook/UdeM) "Introduction
- Dr Blake Richards (Toronto) "A deep learning recipe for neuroscience"
- Dr Michael Mozer (Univ Boulder Colorado, USA) - "The role of access consciousness inhumans and machines"
- Dr Tatyana Sharpee (Salk Institute for Biological Studies, San Diego) "Elementsof cortical computation that enhance robustness of object recognition"
- Dr Sebastian Stober (Artificial Intelligence Lab, University Magdeburg) "Bridging DeepLearning & Cognitive Neuroscience - From Method Transfer to Hybrid Modeling"
- Dr Alexandre Gramfort (INRIA, Université Paris Saclay, France) "Learning representationsfrom neural signals"
- Dr Doina Precup (Mila/McGill/DeepMind) “Hierarchical ReinforcementLearning in computers and brains”
- Student prizes