Welcome to the 4th edition of the Montreal AI and Neuroscience conference. The event will take place online between 1st and 3rd of December. We're looking forward to three days of talks, discussion panels and tutorials at the crossroads of biological and artificial intelligence.

Montreal AI and Neuroscience (MAIN) is an international conference jointly organized by the UNIQUE Centre and the Centre de Recherches Mathématiques (CRM) at the University of Montreal since 2017.

MAIN 2020 Committee:  The MAIN organizing committee consists of Pierre Bellec (Université de Montréal), Andrea Green (Université de Montréal), Karim Jerbi (Mila & Université de Montréal), Guillaume Lajoie (Mila & Université de Montréal), Jean-Marc Lina (École de technologie supérieure), Bratislav Misic (MNI, McGill University), Irina Rish (Mila & Université de Montréal) and Pascal Vincent (Mila & Université de Montréal). Additionally, this year we are lucky to have the support of an outstanding group of highly motivated students from the UNIQUE Centre: Andreanne Proulx, Dongyan Lin, Laura Suarez, Pravish Sainath, Jacek Chudy, Nazanin Sepahvand, Mostafa Sharifzade and Mandana Samiei.

Coordination & administration: Josefina Rossell, UNIQUE Centre coordinator.

MAIN Scientific Advisory Board: The scientific program of MAIN is established with the help of an extended group of experts in the field of AI and Neuroscience, most of whom are members of the UNIQUE Centre.

For more information about speakers and schedule, consult our website: https://www.main2020.org/

For up-to-date info about MAIN 2020 and related Neuro-AI news follow us on twitter:

You can also follow the UNIQUE Centre for updates on Neuro-AI events and funding opportunities:

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Montreal AI and Neuroscience (MAIN) conference 2020

Gunnar Blohm (Queen's University) - Introduction to Writing Scientific Papers

Sara Solla (Northwestern University, IL, USA) - Introduction to Dimensionality Reduction

Stefanie Blain-Moraes (McGill University) - Introduction to the Neuroscience of Consciousness

Irina Rish (Université de Montréal) - Introduction to Continual Learning

Closing remarks

Kimberly Stachenfeld (Google DeepMind, UK) - Representation Learning in the Hippocampal-Entorhinal Circuit

Nicole Rust (University of Pennsylvania, PA, USA) (Keynote #1) - How we remember what we've seen

Anil Seth (University of Sussex, UK) - The strength of weak artificial consciousness

Pamela Douglas (UCLA/UCF, USA) - Introduction to Interpreting Deep Learning Models

Danielle Bassett (University of Pennsylvania, PA, USA) (Keynote #4) - State transitions in matter and mind

Doina Precup (Mila, McGill University) - Introduction to Reinforcement Learning

Eve Marder (Brandeis University, MA, USA) (Keynote #2) - Differential Resilience to Perturbations of Circuits with Similar Performance

Guillaume Dumas (Université de Montréal) - From Social Physiology to Social Neuro-AI

Ian Charest (University of Birmingham, UK) - Semantic representations of natural scenes in the human brain

James Whittington  (University of Oxford, UK) - The Tolman-Eichenbaum Machine: Unifying space and relational memory in the hippocampal formation

Jessica Thompson (Mila, Université de Montréal)- Comparing the activity of artificial and biological networks

Becket Ebitz (Université de Montréal) - The neuroscience of exploration

Lisa Miracchi (University of Pennsylvania, PA, USA) - Relevance, Echo Chambers, and Generative Explanation

Pradeep Reddy Raamana (University of Pittsburgh, PA, USA) - Introduction to Machine Learning

Yoshua Bengio (Mila, Université de Montréal) - Deep Learning and Neuroscience Synergy: from synapses to consciousness

Kareem Zaghloul (NIH, NINDS, USA) - Neural signatures of memory and information in the human brain

Paul Cisek (Université de Montréal) - Introduction to Decision Making models

Pouya Bashivan (McGill University) - Computational models of visual perception for neural prediction and control

Opening remarks for Day 2

Panel discussion: Consciousness in Brains and Machines

Alona Fyshe (University of Alberta, Canada) - How can brain imaging data guide model training?

Opening remarks for Day 3

Q&A with Dr Sara Solla (Northwestern University, IL, USA)

Stanislas Dehaene (Collège de France, Paris) (Keynote #3) - Consciousness: From Computation to Cognition, Cognitive Neuroscience and the Clinic

Ida Momennejad (Microsoft Research, NYC, USA) - Toward a Human-like Reinforcement Learning

Panel discussion: Memory in Brains and Machines

Opening remarks from the MAIN Organising Committee by Karim Jerbi (Université de Montréal)