Computational Neuroscience
From Jeong-Yoon Lee's Wiki
Contents |
Course Work at USC
- EE590: Directed Research by Nicolas Schweighofer
- CS542: Neural Computation with Aritificial Neural Networks by Stefan Schaal
- CS564: Brain Theory and Aritificial Intelligence by Michael A. Arbib
- CS567: Machine Learning by Fei Sha/Sofus A. Macskassy
- BME502: Advanced Studies of Nervous System by Bartlett Mel
- BME575L: Computational Neuroengineering by Norberto Grzywacz
Project
People & Institute
- Neurotree - Academic Genealogy in Neuroscience
At University of Southern California
- Nicolas Schweighofer at University of Southern California
- Michael A. Arbib at University of Southern California
In US
- Eric R. Kandel at Columbia University
- John Krakauer at Columbia University
- Laurence F. Abbott at Brandeis University
- Reza Shadmehr at Johns Hopkins University
- Konrad Kording at Northwestern University
- Emanuel Todorov at University of Washington
- Terrence J. Sejnowski at SALK Institute
- Daeyeol Lee at Yale University
- Nathaniel Daw at New York University
- Okihide Hikosaka at National Eye Institute
- Richard Andersen at Caltech
- Christopher Koch at Caltech
- Emilio Bizzi at MIT
In UK
- Daniel Wolpert at Univeristy of Cambridge
- Peter Dayan at Gatsby Computational Neuroscience Unit, UCL
In Japan
- Mitsuo Kawato at ATR Computational Neuroscience Laboratories
- Kenji Doya at OIST
- Nakahara Hiroyuki at RIKEN BSI
In Korea
Conference
- Neural Information Processing Systems (NIPS)
- Society for Neuroscience (SfN)
- Neural Control for Movement (NCM)
- Cognitive Science (CogSci)
- Computational Neuroscience (CNS)
Computational Methods
Reference
- Neural Computation at USC
- The Handbook of Brain Theory
- Neural Simulation Language
- compneuro.org
- Computational Neuroinfomatics
- Neural Network Information
- Computational Learning Theory
- Kernel Machine