Generative Adversarial Collaborations
Announcing the 2020 CCN GAC lineup & schedule
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Announcing the lineup for the 2020 CCN Generative Adversarial Collaboration program!
We received six excellent proposals for the inaugural year of the CCN Generative Adversarial Collaboration project. All six showed superb levels of scientific rigor, and garnered strong enthusiasm and engagement from the whole community. So, for this first round of the program, we’ve decided to accept all six proposals to launch the GAC series with a bang.
See all the proposals, and their open reviews, on OpenReview.net:
Competing theories of probabilistic computations in the brain. 15 October, 15h00 - 18h00 UTC
Is it that simple? The use of linear models in cognitive neuroscience 19 October, 15h00 - 18h00 UTC
Is Perception Probabilistic? 21 October, 15h00 - 18h00 UTC
Generalization of information - integrative encoding or category-based inference? 22 October, 13h00 - 16h00 UTC
Dimensionality and flexibility of learning in biological recurrent neural networks 23 October, 13h00 - 16h00 UTC
Do grid codes afford generalization and flexible decision-making? 23 October, 16h30 - 19h30 UTC
At this stage, we encourage the authors to also consider inviting members of the community to join their GAC. Although they’re not obligated to grow their teams, if this is something you’re interested in for a particular proposal, we encourage you to contact the GAC organizers to talk about options. Remember, though, that even if you don’t get involved in a GAC, you’ll have the opportunity to submit a reply to their position papers, to be published early 2021!
Which ones do you plan to attend? Let us know on this form!
All GAC kickoff workshops will be held on Zoom.
We are grateful for the enthusiastic participation in the GAC project so far by both organizers and the whole CCN community, and look forward to next steps.
About the CCN GAC Project:
What are the most exciting challenges and controversies in cognitive computational neuroscience right now? How can we form feasible plans to solve them collaboratively? Unfortunately, due to Covid-19, the next Cognitive Computational Neuroscience (CCN) annual meeting will be in 2021. However, the CCN Program Committee is organizing a new, innovative virtual event this year with the aim to foster a set of CCN Generative Adversarial Collaborations (GACs). The goal of a CCN GAC is to identify, debate, and make concrete plans to address the most challenging, controversial, and exciting theoretical and empirical debates in our field.
We highly encourage the CCN community to actively engage in the CCN GAC online discussions throughout summer 2020, the virtual GAC workshops (free of charge) in fall 2020, and the ensuing GAC publications and solicited commentaries coming in early 2021.
Selected CCN GAC proposals will participate in the following:
Co-organize and attend an online kickoff CCN GAC 2020 workshop, to occur sometime over a 1-2 week period in September/October 2020.
Write a collaborative paper based on the CCN GAC, to be submitted to a special issue with target date early 2021. This position paper will identify the concrete goals (theoretical or experimental) of the GAC over the next several years, and will be accompanied by commentary pieces (especially from workshop audience members) submitted for peer review to the same journal, to be linked with the collaborative manuscript.
Attend and present progress at the following CCN 2021.
CCN GACs are organized by the CCN Program Committee: Gunnar Blohm, Eric DeWitt, Ralf Haefner, Niko Kriegeskorte, Jennifer Lieberman, Megan Peters, & Gemma Roig. Email questions to email@example.com.