CoSMo 2013
This page contains course materials for the CoSMo 2013 summer school.
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Contact Konrad Kording if you need assistance.
Contents
- 1 Introduction - overview of sensory-motor control
- 2 DREAM database - Introduction to the data and model sharing initiative
- 3 Limb motor control
- 4 The Bayesian Brain
- 5 Grant writing 101 for Neuroscientists
- 6 Sensory-motor transformations
- 7 From academia to industry - a practical guide
- 8 Adaptation & learning
- 9 Computational neuroimaging & MVPA
Introduction - overview of sensory-motor control
Aug 5-6
Lecturers: Gunnar Blohm, Niko Troje
Troje lecture: some introductory thoughts on modelling
Blohm sensory-motor lecture: a brief overview of the field
Blohm how to model lecture: a practical guide
Afternoon tutorial 1
Please first get the Tutorial instructions
Then download the Matlab code and Data set for exercise 4.
Afternoon tutorial 2
Data set
Instructions
DREAM database - Introduction to the data and model sharing initiative
Aug 5 (evening)
Lecturer: Gunnar Blohm
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 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
Update: Here's the fixed version of LoadDreamPaths.m. (The originally distributed version had Windows directory formatting using '/' and would not work for *nix. 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.
Limb motor control
Aug 7-8
Lecturers: Lena Ting, Stephen Scott
Scott Intro
Ting lecture
Afternoon tutorial 1
Instructions
Software package 1
Wavelet code
Related papers: Bingham (2011) and Ting (2010)
The Bayesian Brain
Aug 9-10
Lecturers: Angela Yu, Paul Schrater
Grant writing 101 for Neuroscientists
Aug 9 (evening)
Lecturer: Ken Rose
Sensory-motor transformations
Aug 12-13
Lecturers: Kathy Cullen, Maurice Chacron
From academia to industry - a practical guide
Aug 12 (evening)
Lecturer: Don Aldridge (IBM)
Adaptation & learning
Aug 14-15
Lecturers: Doug Tweed, Maurice Smith
Computational neuroimaging & MVPA
Aug 16-17
Lecturers: Rhodri Cusack, Pat Stroman, Andy Connolly