Blohm Lab Wiki

This page contains course materials for the CoSMo 2015 summer school.

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Introduction - overview of sensory-motor control

Jun 29-30
Lecturers: Gunnar Blohm, Paul Schrater, Konrad Kording, John van Opstal, Pieter Medendorp

Konrad, Weiji, Dan book book

Blohm slides part 1 - computational anatomy
Schrater slides part 1 - decision making

Schrater slides part 2 - sensory-motor systems
Blohm slides part 2 - sensory-motor processing underlying eye movements
van Opstal syllabus - linear systems theory and answers to exercises part 1 and part 2
van Opstal slides 1 - linear systems theory
van Opstal slides 2 - linear systems in sensory-motor control A
van Opstal slides 3 - linear systems in sensory-motor control B
van Opstal slides 4 - Laplace transformation
van Opstal slides 5 - The saccadic system

Afternoon tutorial 1 - Bayesian decoding (Jun 29)
Bayesian decoding tutorial and related Data set

Afternoon tutorial 2 - Saccades (Jun 30)
Saccade models (Simulink code)

How to model tutorial

Jun 29 (evening)
Lecturers: Gunnar Blohm, Paul Schrater, Konrad Kording

tutorial slides

DREAM database - Shared data and models for CoSMo projects

Jun 29 - Jul 10

Curtesy: Konrad Kording

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.
  

Coding & decoding

Jul 1
Lecturers: Joern Dietrichsen, Nikolaus Kriegeskorte

Please read the following papers BEFORE the tutorial: Ejaz, et al., 2015 and Khaligh-Razavi & Kriegeskorte, 2014

[[Media: | Niko's slides]]
[[Media: | Jorn's slides]]

If you would like to apply these methods, please refer to this paper. The link to the Matlab code can be found within the paper. Accompanying tutorial videos can be found here.