Cognitive Computational Neuroscience: A New Conference for an Emerging Discipline

Thomas Naselaris, Danielle S. Bassett, Alyson K. Fletcher, Konrad Kording, Nikolaus Kriegeskorte, Hendrikje Nienborg, Russell A. Poldrack, Daphna Shohamy, Kendrick Kay

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


Understanding the computational principles that underlie complex behavior is a central goal in cognitive science, artificial intelligence, and neuroscience. In an attempt to unify these disconnected communities, we created a new conference called Cognitive Computational Neuroscience (CCN). The inaugural meeting revealed considerable enthusiasm but significant obstacles remain.

Original languageEnglish (US)
Pages (from-to)365-367
Number of pages3
JournalTrends in Cognitive Sciences
Issue number5
StatePublished - May 2018

Bibliographical note

Funding Information:
The authors thank A. Oliva for critical early encouragement and advice. They gratefully acknowledge support from the National Science Foundation ( BCS-1658406 ), the Office of Naval Research ( N00014-17-1-2226 ), and the following institutional and corporate sponsors: Kavli Foundation, PLoS Computational Biology, MIT Press, Princeton University Press, Siemens, Microsoft, Google, Oculus, and DeepMind. Finally, they thank the following invited speakers for their participation in the first CCN conference: Y. Bengio, A.K. Churchland, R. Coen-Cagli, J.D. Cohen, J. DiCarlo, B.U. Forstmann, A. Fyshe, J.P. Gottlieb, T.L. Griffiths, N. Kanwisher, Y. LeCun, W.J. Ma, T. Movshon, Y. Niv, A. Oliva, B.A. Olshausen, N.C. Rust, R. Saxe, M.N. Shadlen, J.B. Tenenbaum, and D.M. Wolpert.

Publisher Copyright:
© 2018 Elsevier Ltd


  • artificial intelligence
  • cognitive science
  • computational modeling
  • machine learning
  • neural networks

Center for Magnetic Resonance Research (CMRR) tags

  • BFC


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