Difference between revisions of "CoSMo 2014"
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'''Afternoon tutorials''' <br> | '''Afternoon tutorials''' <br> | ||
Do Iterations, Fibonacci Numbers and Matrices in [http://www.mathworks.com/moler/exm/chapters.html Moler's Matlab tutorial] <br> | Do Iterations, Fibonacci Numbers and Matrices in [http://www.mathworks.com/moler/exm/chapters.html Moler's Matlab tutorial] <br> | ||
| − | Reproduce figure 1 from [[Media:Pouget_snyder_2000.pdf | Pouget & Snyder paper]] <br> | + | Reproduce figure 1 from [[Media:Pouget_snyder_2000.pdf | Pouget & Snyder paper]]: [[Media:one_d_gabor_cosine_scr.m | a solution]] <br> |
[[Media:tutorial_BayesianDecoding2014.pdf | Bayesian tutorial]] and related [[Media:DatasetReal.mat | Data set]] <br> | [[Media:tutorial_BayesianDecoding2014.pdf | Bayesian tutorial]] and related [[Media:DatasetReal.mat | Data set]] <br> | ||
[[Media:Bayes_problem_and_solution_Cosmo2014.pdf | Light bulb tutorial]] and related [[Media:BME590Q_Bayes.mat | data set]]. Feel free to also consult [[Media:dayan_abbott_chap3.pdf | Dayan & Abbott chapter 3]] <br> | [[Media:Bayes_problem_and_solution_Cosmo2014.pdf | Light bulb tutorial]] and related [[Media:BME590Q_Bayes.mat | data set]]. Feel free to also consult [[Media:dayan_abbott_chap3.pdf | Dayan & Abbott chapter 3]] <br> | ||
Revision as of 19:53, 4 August 2014
This page contains course materials for the CoSMo 2014 summer school.
Introduction - overview of sensory-motor control
Aug 4-5
Lecturers: Gunnar Blohm, Kurt Thoroughman
Day 1 lectures
Thoroughman slides 1
Thoroughman slides 2
Thoroughman notes
Blohm slides
Afternoon tutorials
Do Iterations, Fibonacci Numbers and Matrices in Moler's Matlab tutorial
Reproduce figure 1 from Pouget & Snyder paper: a solution
Bayesian tutorial and related Data set
Light bulb tutorial and related data set. Feel free to also consult Dayan & Abbott chapter 3
Additional documents
Poggio & Bizzi 2004 paper
DREAM database - Introduction to the data and model sharing initiative
Aug 4 (evening)
Lecturer: Gunnar Blohm
You can get the DREAM project from Gunnar on a USB drive. 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 want "all" of DREAM (models, tools, and documentation), click here: AllDream.zip
- If you're familiar with svn and would like info/credentials for code in the repository, contact Ben Walker
Here's the latest version of LoadDreamPaths.m. (This script should work for all OSes.)
Here is a description of data sets currently in Dream. Dream is growing, but this list is accurate as of the time of the summer school (click on the link to access the related publication).
- Burns -- reaching with head tilt and left/right visual perturbations
- Corbett -- reach trajectory predictions based on EMG and gaze movements
- Fernandes -- reaching with uncertain and rotated midpoint feedback
- Flint -- decoding of reaching movements from local field potentials
- Kording -- reaching with uncertain midpoint feedback
- Mattar 07 -- generalizing from one, two or multi targets to another direction
- Mattar 10 -- reaching to a distance (short/long), generalizing to the other one (long/short)
- Ostry -- move in force field, get an estimation of where the hand is
- Scott -- monkey (no spike), center out: even and not evenly distributed targets, also a forward/back
- Stevenson -- center out, monkey with neural time stamps
- Thoroughman -- reach adaptation to perturbations with different complexity
- Vahdat -- movement in force field with FMRI scans pre/post learning
- Wei 08 -- visual perturbations, cursor shown only at target
- Wei 10 -- movement in differing force fields
- Young -- movement time stayed the same, but distance changed; fast, medium, slow reaches.
Motor control & learning
Aug 6-7
Lecturers: Reza Shadmehr, Adrian Haith, Alaa Ahmed
