Difference between revisions of "CoSMo 2012"
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'''Afternoon Tutorial Session 2''' <br> | '''Afternoon Tutorial Session 2''' <br> | ||
[[Media:LQR and Kalman Filtering Tutorial.pdf | LQR and Kalman Filtering]] | [[Media:LQR and Kalman Filtering Tutorial.pdf | LQR and Kalman Filtering]] | ||
+ | [[Media:LQG_Solution.m | Download LQG_Solution.m]] | ||
==Introduction to the data and model sharing initiative== | ==Introduction to the data and model sharing initiative== |
Revision as of 00:04, 8 August 2012
Welcome to CoSMo 2012!
Lecturers may use this page to distribute materials to attendees of the CoSMo 2012 summer school. Anything uploaded will be viewable by the internet at large, so sensitive files should be uploaded in encrypted .zip files. To upload, you must first log in using the id/password combination of the name of the summer school (id) and the year (pw). Here are some upload instructions or you can go straight to the upload file page. Email ben-walker@northwestern.edu if you need assistance.
Contents
Sensory-motor transformations
Aug 6-7
Lecturers: Gunnar Blohm, Philip Sabes
Blohm lecture 1
Blohm lecture 2
Sabes Lecture 1
Sabes Lecture 2
Afternoon Tutorial Session 1
GradientDescent: View as .txt file or download the .m file
NNet_toolboxR2010: View as .txt file or download the .m file
RFanalysis: View as .txt file or download the .m file
Afternoon Tutorial Session 2
LQR and Kalman Filtering
Download LQG_Solution.m
Introduction to the data and model sharing initiative
Aug 7 (evening)
Lecturer: Konrad Körding
The DREAM project should be on the USB drives of a few different students. If you haven't yet, find someone who has the data and get it from them. DREAM can also be downloaded piece-wise (data sets, models, tools, and documentation) from CRCNS: http://crcns.org/data-sets/movements/dream/downloading-dream. You will need to create an account on CRCNS to be able to download the project files.
(If you're familiar with svn and would like info/credentials for code the repository, contact Ben Walker)
Cue combination
Aug 8-9
Lecturers: Mike Landy, Paul Schrater
Entire syllabus and exercises
Landy Lecture 1a
Landy Lecture 1b
Landy Lecture 2
Schrater Lecture 1
Afternoon Tutorial Session 1
Tutorial Matlabfile 1
based on Tutorial paper reference
and needs the following data DataSet
Learning, adaptation and generalization
Aug 10-11
Lecturers: John Krakauer, David Ostry, Konrad Körding
Neuromechanics & spinal cord
Aug 13-14
Lecturers: Sandro Mussa-Ivaldi, Jason Kutch
Robotics & brain-machine interfaces
Aug 15-16
Lecturers: Brenna Argall, Byron Yu, Lee Miller
Computational neuroimaging
Aug 17-18
Lecturers: Rhodri Cusack, Alex Wade, Scott Grafton
The secret of becoming a successful scientist
Aug 17 (evening)
Lecturer: Luís Amaral