Generative Adversarial Collaborations
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.
Deadline for CCN GAC proposal submissions: July 17, 2020
Details on the CCN GAC and more information on how to apply can be found on our Call for Proposals page.
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 firstname.lastname@example.org.