Abstract
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 language | English (US) |
---|---|
Pages (from-to) | 365-367 |
Number of pages | 3 |
Journal | Trends in Cognitive Sciences |
Volume | 22 |
Issue number | 5 |
DOIs | |
State | Published - 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
Keywords
- artificial intelligence
- cognitive science
- computational modeling
- machine learning
- neural networks
Center for Magnetic Resonance Research (CMRR) tags
- BFC