Special Events

In addition to talks and posters, CCN 2019 will involve exciting special events:

Mind Matching

Meet new people! CCN 2019 will feature an algorithmically optimized networking event. Participants will meet and engage in conversation with a new scientist every 15 minutes. An algorithm will determine who meets whom. (90 min)

Challenges and Controversies: The Free Energy Principle

Karl Friston and Jeff Beck will discuss the promise and perils of the free energy principle as a path toward understanding brain and cognition. The event will be moderated by Rosalyn Moran. (90 min)

Speakers: Karl Friston and Jeff Beck
Moderator: Rosalyn Moran

Cross-collaboration Breakouts

We will gather in smaller groups to discuss six key challenges related to cross-collaboration between cognitive science, computational neuroscience, and artificial intelligence. Invited discussion leaders will kick-start the conversation with short presentations. (90 min)

Sunday, September 15, 15:30 - 17:00

SE-BK1: Can state-space models form a bridge between theory and data?

Speakers: Scott Linderman, Laura Driscoll, Lea Duncker


SE-BK2: How can we measure and model the dynamics of interacting minds

Speakers: Janice Chen, Mark Thornton, Adam Calhoun


SE-BK3: How can we design cognitive tasks that challenge both cognitive and neural network models?

Speakers: Benjamin Peters et al.

Monday, September 16, 14:00 - 15:30

SE-BK4: How should we benchmark models in cognitive computational neuroscience?

Speakers: Matthias Bethge, Y-Lan Boureau, Gemma Roig


SE-BK5: How can we test cognitive models with brain-activity data?

Speakers: Todd Gureckis et al.


SE-BK6: How can we model the computations of human language perception and production?

Speakers: Jon Brennan, Laura Gwilliams


Schedule

 

Friday, September 13

12:30 - 17:00

Tutorial T-A: Representing states and spaces, by Tim Behrens, Kim Stachenfeld H1012
Tutorial T-B: Causal inference, by Dominik Janzing, Sebastian Weichwald H1028
Tutorial T-C: Approximate inference in the brain: free energy, sampling, and beyond, by Sam Gershman H1058

14:30 - 15:00

Coffee Break

17:30 - 18:00

Opening Remarks H0104

18:00 - 19:00

Keynote KN-1: Elizabeth Spelke "From core concepts to new systems of knowledge" H0104

19:00 - 21:00

Welcome Reception H Lichthof
 

Saturday, September 14

09:00 - 09:50

Keynote KN-2: Tim Behrens "Abstraction and inference in the frontal hippocampal circuit" H0104

09:50 - 10:30

GS-1: Contributed Talks 1-2 H0104

10:30 - 11:00

Break

11:00 - 11:50

Keynote KN-3: Roshan Cools "Chemistry of the adaptive mind: on dopamine and mental work" H0104

11:50 - 12:30

GS-2: Contributed Talks 3-4 H0104

12:30 - 14:00

Lunch (on your own)

12:30 - 12:30

Brief description of Mind Matching

14:00 - 15:30

Mind Matching H3005, H3006, H3007

15:30 - 16:20

Keynote KN-4: Anne Churchland "Single-trial neural dynamics during novice and expert decisions are dominated by richly varied movements" H0104

16:20 - 16:30

Break

16:30 - 19:30

PS-1A: Poster Session 1A H Lichthof
PS-1B: Poster Session 1B H Galerie 1-3
PS-1C: Poster Session 1C H Fläche 1. OG
 

Sunday, September 15

09:00 - 09:50

Keynote KN-5: Nando de Freitas "Modularity and Metalearning" H0104

09:50 - 10:30

GS-3: Contributed Talks 5-6 H0104

10:30 - 11:00

Break

11:00 - 11:50

Keynote KN-6: Talia Konkle "Why is that there? Feature mapping across the visual cortex" H0104

11:50 - 12:30

GS-4: Contributed Talks 7-8 H0104

12:30 - 14:00

Lunch (on your own)

14:00 - 15:00

SE-CC: Challenges and Controversies: The Free Energy Principle H0104

15:00 - 15:30

Break

15:30 - 17:00

SE-BK1: Cross-collaboration Breakout: Can state-space models form a bridge between theory and data? H1012
SE-BK2: Cross-collaboration Breakout: How can we measure and model the dynamics of interacting minds? H1028
SE-BK3: Cross-collaboration Breakout: How can we design cognitive tasks that challenge both cognitive and neural network models? H1058

17:00 - 20:00

PS-2A: Poster Session 2A H Lichthof
PS-2B: Poster Session 2B H Galerie 1-3
PS-2C: Poster Session 2C H Fläche 1. OG
 

Monday, September 16

09:00 - 09:50

Keynote KN-7: Máté Lengyel "Probabilistic internal models — behavioural and neural signatures" H0104

09:50 - 10:30

GS-5: Contributed Talks 9-10 H0104

10:30 - 11:00

Break

11:00 - 11:50

Keynote KN-8: Nathaniel Daw "Population codes and prediction errors" H0104

11:50 - 12:30

GS-6: Contributed Talks 11-12 H0104

12:30 - 14:00

Lunch (on your own)

14:00 - 15:30

SE-BK4: Cross-collaboration Breakout: How should we benchmark models in cognitive computational neuroscience? H1012
SE-BK5: Cross-collaboration Breakout: How can we test cognitive models with brain-activity data? H1028
SE-BK6: Cross-collaboration Breakout: How can we model the computations of human language perception and production? H1058

15:30 - 16:00

Break

16:00 - 16:50

Keynote KN-9: Bernhard Schölkopf "Causal learning" H0104

16:50 - 17:20

Final Words H0104

17:20 - 18:20

CCN Community Meeting H0104

18:20 - 19:30

Closing Mixer H Lichthof, H Galerie 1