CoSMo 2016 - Revision history

Gunnar: /* Modeling movement and disorders */

2019-07-19T16:23:17Z

Modeling movement and disorders

← Older revision		Revision as of 16:23, 19 July 2019
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	[[Media:Francisco_2016_CoSMo.pdf \| Francisco's slides]]		[[Media:Francisco_2016_CoSMo.pdf \| Francisco's slides]]

	[http://valerolab.org/fundamentals/ Book website for Fundamentals of Neuromechanics]		[http://valerolab.org/fundamentals/ Book website for Fundamentals of Neuromechanics] (free pdf!)

	[https://github.com/bcohn12/vectormap/archive/master.zip Link to tutorial code] from [http://valerolab.org/book_chapters/ch9.html chapter 9].		[https://github.com/bcohn12/vectormap/archive/master.zip Link to tutorial code] from [http://valerolab.org/book_chapters/ch9.html chapter 9].
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	----		----


	== The Bayesian Brain ==		== The Bayesian Brain ==

Gunnar at 14:47, 6 February 2018

2018-02-06T14:47:26Z

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	Paul talked about Model Complexity and it's consequences. Link [http://compneurosci.com/wiki/images/ComplexityTradeOff.pdf here] <br>		Paul talked about Model Complexity and it's consequences. Link [http://compneurosci.com/wiki/images/ComplexityTradeOff.pdf here] <br>
	[[Media:Model_evaluation_CoSMo2016.pdf \| Model evaluation slides]] <br>		[[Media:Model_evaluation_CoSMo2016.pdf \| Model evaluation slides]] <br>

			----

Gunnar at 14:47, 6 February 2018

2018-02-06T14:47:07Z

← Older revision		Revision as of 14:47, 6 February 2018
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	[[File:CoSMo2016_small.jpg \| thumb \| CoSMo logo]]		[[File:CoSMo2016_small.jpg \| thumb \| CoSMo logo]]


			----

	== Introduction ==		== Introduction ==
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	[https://www.dropbox.com/sh/kdv8gf40t54why7/AADYqkSia8bAmmKAPdTd5nkpa?dl=0 Link] to dropbox with tutorial code. <br>		[https://www.dropbox.com/sh/kdv8gf40t54why7/AADYqkSia8bAmmKAPdTd5nkpa?dl=0 Link] to dropbox with tutorial code. <br>
	[[Media:Sternad.Task-Dynamic.Approach.CosMo.2016s2b.pdf \| Dagmar's slides]]		[[Media:Sternad.Task-Dynamic.Approach.CosMo.2016s2b.pdf \| Dagmar's slides]]

			----


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	[https://drive.google.com/open?id=0B8bK-gM8hHDpVHIzaDJ3R0VHd2c Link to drive with talk slides and videos]		[https://drive.google.com/open?id=0B8bK-gM8hHDpVHIzaDJ3R0VHd2c Link to drive with talk slides and videos]

			----


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	[https://github.com/rsagroup/rsatoolbox RSA tooblox] on Github		[https://github.com/rsagroup/rsatoolbox RSA tooblox] on Github

			----


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	[[Media:Assignment_Alaa_CoSMo2016.pdf \| Assignment instructions]] <br>		[[Media:Assignment_Alaa_CoSMo2016.pdf \| Assignment instructions]] <br>
	[[Media:EffMassDounskaia_2016.mat \| Data]] and [[Media:Minjerk.m \| associated Matlab file]]		[[Media:EffMassDounskaia_2016.mat \| Data]] and [[Media:Minjerk.m \| associated Matlab file]]

			----


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	*[[Media:Wei_2010.pdf \| Wei 10]] -- movement in differing force fields <br>		*[[Media:Wei_2010.pdf \| Wei 10]] -- movement in differing force fields <br>
	*[[Media:Young_2009.pdf \| Young]] -- movement time stayed the same, but distance changed; fast, medium, slow reaches. <br>		*[[Media:Young_2009.pdf \| Young]] -- movement time stayed the same, but distance changed; fast, medium, slow reaches. <br>

			----

Mike at 00:31, 31 January 2018

2018-01-31T00:31:07Z

← Older revision		Revision as of 00:31, 31 January 2018
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	[http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/f/f0~~/COSMO_Adam.zip Tutorials link]		[http://compneurosci.com/wiki/images/COSMO_Adam.zip Tutorials link]

	[https://drive.google.com/open?id=0B8bK-gM8hHDpVHIzaDJ3R0VHd2c Link to drive with talk slides and videos]		[https://drive.google.com/open?id=0B8bK-gM8hHDpVHIzaDJ3R0VHd2c Link to drive with talk slides and videos]
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	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 [https://crcns.org/join_form?came_from=http%3A//crcns.org/data-sets/movements/dream/downloading-dream create] an account on CRCNS to be able to download the project files.		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 [https://crcns.org/join_form?came_from=http%3A//crcns.org/data-sets/movements/dream/downloading-dream create] an account on CRCNS to be able to download the project files.
	<!--[[File:AllDream.zip]]-->		<!--[[File:AllDream.zip]]-->
	If you want "all" of DREAM (models, tools, and documentation), click here: [http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/d/d2~~/AllDream.zip AllDream.zip] <br>		If you want "all" of DREAM (models, tools, and documentation), click here: [http://compneurosci.com/wiki/images/AllDream.zip AllDream.zip] <br>

	:If you're familiar with svn and would like info/credentials for code in the repository, contact [[Ben Walker]]		:If you're familiar with svn and would like info/credentials for code in the repository, contact [[Ben Walker]]

Mike at 23:37, 30 January 2018

2018-01-30T23:37:31Z

← Older revision		Revision as of 23:37, 30 January 2018
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	Konrad talked about model fitting... <br>		Konrad talked about model fitting... <br>
	Paul talked about Model Complexity and it's consequences. Link [http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/5/5c~~/ComplexityTradeOff.pdf here] <br>		Paul talked about Model Complexity and it's consequences. Link [http://compneurosci.com/wiki/images/ComplexityTradeOff.pdf here] <br>
	[[Media:Model_evaluation_CoSMo2016.pdf \| Model evaluation slides]] <br>		[[Media:Model_evaluation_CoSMo2016.pdf \| Model evaluation slides]] <br>

Mike at 23:34, 30 January 2018

2018-01-30T23:34:30Z

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	[http://compneurosci.com/wiki/images/Ch_4_figs_20120118.pptx Cuecumber nation slides]		[http://compneurosci.com/wiki/images/Ch_4_figs_20120118.pptx Cuecumber nation slides]

	[http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/4/40~~/NCM_tutorial.zip Tutorial] and additional steps for [http://~~klab.smpp.northwestern~~.~~edu~~/wiki/images~~/0/03~~/NCM_contest.zip extra points] <br>		[http://compneurosci.com/wiki/images/NCM_tutorial.zip Tutorial] and additional steps for [http://compneurosci.com/wiki/images/NCM_contest.zip extra points] <br>

Mike at 23:29, 30 January 2018

2018-01-30T23:29:18Z

← Older revision		Revision as of 23:29, 30 January 2018
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	[http://compneurosci.com/wiki/images/Chapter_1_2015_02_16_figures.pptx Conditional Probabilities slides]		[http://compneurosci.com/wiki/images/Chapter_1_2015_02_16_figures.pptx Conditional Probabilities slides]

	[http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/9/9a~~/Ch2_figures_20120104W.pptx Bayesian models slides]		[http://compneurosci.com/wiki/images/Ch2_figures_20120104W.pptx Bayesian models slides]

	[http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/8/8e~~/Ch_4_figs_20120118.pptx Cuecumber nation slides]		[http://compneurosci.com/wiki/images/Ch_4_figs_20120118.pptx Cuecumber nation slides]

	[http://klab.smpp.northwestern.edu/wiki/images/4/40/NCM_tutorial.zip Tutorial] and additional steps for [http://klab.smpp.northwestern.edu/wiki/images/0/03/NCM_contest.zip extra points] <br>		[http://klab.smpp.northwestern.edu/wiki/images/4/40/NCM_tutorial.zip Tutorial] and additional steps for [http://klab.smpp.northwestern.edu/wiki/images/0/03/NCM_contest.zip extra points] <br>

Mike at 23:24, 30 January 2018

2018-01-30T23:24:23Z

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	'''Morning lectures and tutorial (Konrad)'''		'''Morning lectures and tutorial (Konrad)'''

	[http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/d/db~~/Chapter_1_2015_02_16_figures.pptx Conditional Probabilities slides]		[http://compneurosci.com/wiki/images/Chapter_1_2015_02_16_figures.pptx Conditional Probabilities slides]

	[http://klab.smpp.northwestern.edu/wiki/images/9/9a/Ch2_figures_20120104W.pptx Bayesian models slides]		[http://klab.smpp.northwestern.edu/wiki/images/9/9a/Ch2_figures_20120104W.pptx Bayesian models slides]

Mike at 22:51, 30 January 2018

2018-01-30T22:51:42Z

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	'''Afternoon tutorial 1 - plotting neural data'''		'''Afternoon tutorial 1 - plotting neural data'''

	Here is the file [[http://~~klab~~.~~smpp.northwestern.edu~~/wiki/images~~/6/6f~~/M1_Stevenson_Binned.mat Stevenson Data Set]]		Here is the file [[http://compneurosci.com/wiki/images/M1_Stevenson_Binned.mat Stevenson Data Set]]
	As part of the tuning curve exercise we will understand it. <br>		As part of the tuning curve exercise we will understand it. <br>

Mike: 151 revisions imported

2018-01-23T17:23:02Z

151 revisions imported

New page

This page contains course materials for the [http://www.compneurosci.com/CoSMo/program.html CoSMo 2016] summer school.
[[File:CoSMo2016_small.jpg | thumb | CoSMo logo]]

== Introduction ==
''Aug 1-4'' 
Lecturers: Gunnar Blohm, Paul Schrater, Konrad Kording 

Individual Meeting Sign-up Sheets:
[https://docs.google.com/spreadsheets/d/1TsqnJRaRY9thADAYasQ7cpOyMSNtKpi2WQ-wnN6J26s/edit?usp=sharing Gunnar]
[https://docs.google.com/spreadsheets/d/1s__C3bNpU4SrfkMitqgMCnj-v4nlC2VhfaiMgs76yK0/edit?usp=sharing Paul]
[https://docs.google.com/spreadsheets/d/16q8gw0KI7_eKHgIa8s_i9RL_FBQ5qLs74jRgu2VqaRg/edit?usp=sharing Konrad]

=== Day 1 - Overview of sensory-motor computations ===

[[Media:Organization_CoSMo2016.pdf | Organization slides]] 
[[Media:Philosophy_CoSMo2016.pdf | Philosophy of modelling slides]] 
[[Media:SensoryMotorBlohm_CoSMo2016.pdf | Sensorimotor overview slides]] 

'''Afternoon tutorial 1 - plotting neural data'''

Here is the file [[http://klab.smpp.northwestern.edu/wiki/images/6/6f/M1_Stevenson_Binned.mat Stevenson Data Set]]
As part of the tuning curve exercise we will understand it. 

'''Afternoon tutorial 2: gain modulation for reference frame transformations'''

The goal of this tutorial is to understand how gain modulation can be used for reference frame transformations and how gain modulation can emerge from training a simple artificial neural network carrying out reference frame transformations. 
There are 2 different approaches to solving this:
* exact determination of read-out weights from eye-position gain-modulated neurons as in [[Media:Pouget_snyder_2000.pdf | this seminal paper]]. Here the solution can be found by computing the least-square optimal set of weights mapping the gain-modulated neurons (population code) to head-centered output neuron(s). For this to work, population code neurons need to be of the exponential function family.
* training a neural network to perform reference frame transformations using [[Media:Gain_fields_NNet_toolbox_CoSMo2016.m | this code]]. For this you can plot each individual neuron's receptive field for different eye positions and analyze how the receptive field changes with eye position in each network layer. 

=== Day 2 - Bayesian approaches ===

[https://drive.google.com/file/d/0B7BtxrHIZHgpUmUxXzl2WHVsUEk/view Bayesian perception - an introduction]: a tremendous book written by Wei Ji Ma, Konrad Kording, Daniel Goldreich 

'''Morning lectures and tutorial (Konrad)'''

[http://klab.smpp.northwestern.edu/wiki/images/d/db/Chapter_1_2015_02_16_figures.pptx Conditional Probabilities slides]

[http://klab.smpp.northwestern.edu/wiki/images/9/9a/Ch2_figures_20120104W.pptx Bayesian models slides]

[http://klab.smpp.northwestern.edu/wiki/images/8/8e/Ch_4_figs_20120118.pptx Cuecumber nation slides]

[http://klab.smpp.northwestern.edu/wiki/images/4/40/NCM_tutorial.zip Tutorial] and additional steps for [http://klab.smpp.northwestern.edu/wiki/images/0/03/NCM_contest.zip extra points] 

'''Afternoon lectures and tutorial (Paul)'''

[https://drive.google.com/open?id=0B8bK-gM8hHDpRlBiRTRRZlZsT3c Face attractiveness and decision tutorials, and lecture slides] 

[https://docs.google.com/document/d/1a5uEJepjmRpdzr0d26feRgQfVKVMzOvuGX83NAGhEow/edit?usp=sharing Here] are modeling tutorial instructions. Please also read the papers by [[Media:Lappe,_Bremmer,_&_van_der_Berg_1999.pdf | Lappe]] and [[Media:Seno_&_Fukuda_2012.pdf | Seno]]. 

=== Day 3 - Linear systems ===

'''Morning lectures and tutorials (Theory and saccades)''' 
[[Media:SystemsTheory_CoSMo2016.pdf | Linear systems theory slides]] 
[[Media:SystemsEyeMovements_CoSMo2016.pdf | Modelling saccades slides]] 
[[Media:SaccadeTime_Freq_CoSMo2016.m | This Matlab file]] contains both the time representation and frequency representation (using the control systems toolbox) solutions for modelling saccades. [[Media:Convolution_Approach_Ali.m | Here]] is yet another way to approach the solution through explicit convolution (this is not preferred but possible ;-) ). 

[[Media:CoSMo2015-vOpstal.pdf | van Opstal syllabus - linear systems theory]]: a great syllabus developed by John van Opstal for CoSMo on using linear systems to model gaze control with theory, exercises and answers to exercises 

'''Afternoon lectures and tutorials (Kalman filter)''' 
[https://www.cl.cam.ac.uk/~rmf25/papers/Understanding%20the%20Basis%20of%20the%20Kalman%20Filter.pdf Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation] 
[https://drive.google.com/open?id=0B8bK-gM8hHDpVGV3N2tCa0tWLVE Kalman Filter tutorials and slides] 

=== Day 4 - Optimality and data analyses ===

Konrad talked about model fitting... 
Paul talked about Model Complexity and it's consequences. Link [http://klab.smpp.northwestern.edu/wiki/images/5/5c/ComplexityTradeOff.pdf here] 
[[Media:Model_evaluation_CoSMo2016.pdf | Model evaluation slides]] 

== Modeling movement and disorders ==
''Aug 5-6'' 
Lecturers: Dagmar Sternad & Francisco Valero-Cuevas 

Individual Meeting Sign-up Sheets:
[https://docs.google.com/spreadsheets/d/1Ew2K3oyKT1z4G6nf0BpjxJxctpP2ayE0jjfoWIAWpOE/edit?usp=sharing Dagmar] [https://docs.google.com/spreadsheets/d/11D7PfTX2XXRXiVKVbi2az2LnbbKiQUrBSy0dvEAIUeQ/edit?usp=sharing Francisco]

''' Day 5 (Francisco) '''

[[Media:Francisco_2016_CoSMo.pdf | Francisco's slides]]

[http://valerolab.org/fundamentals/ Book website for Fundamentals of Neuromechanics]

[https://github.com/bcohn12/vectormap/archive/master.zip Link to tutorial code] from [http://valerolab.org/book_chapters/ch9.html chapter 9].

''' Day 6 (Dagmar) '''

[https://www.dropbox.com/sh/kdv8gf40t54why7/AADYqkSia8bAmmKAPdTd5nkpa?dl=0 Link] to dropbox with tutorial code. 
[[Media:Sternad.Task-Dynamic.Approach.CosMo.2016s2b.pdf | Dagmar's slides]]

== The Bayesian Brain ==
''Aug 8'' 
Lecturer: Adam Johnson

[https://umn.webex.com/umn/lsr.php?RCID=eb155d99eae44a46a47b39902ca840fb Link] to lecture video (requires installing webex plugin).

Individual Meeting Sign-up Sheet:
[https://docs.google.com/spreadsheets/d/1IDknUSygxSILIE_P4MhEF_odsQEQpJ3D6vD1Zd-DmGM/edit?usp=sharing Adam Johnson]

[http://klab.smpp.northwestern.edu/wiki/images/f/f0/COSMO_Adam.zip Tutorials link]

[https://drive.google.com/open?id=0B8bK-gM8hHDpVHIzaDJ3R0VHd2c Link to drive with talk slides and videos]

== Computational Neuroimaging ==
''Aug 9'' 
Lecturer: Jörn Diedrichsen

[https://umn.webex.com/umn/lsr.php?RCID=5836584e15a44625b6c248cc74335ede Link] to lecture video.

Individual Meeting Sign-up Sheet:
[https://docs.google.com/spreadsheets/d/1eA6B5dgClg2ow5SRYKfsoJhqDWZZDwLks2jwV5dEXOM/edit?usp=sharing Jörn Diedrichsen] 

[[Media:Jorn_slides_COSMO_2016_small.pdf | Joern's lecture slides]]

[[Media:Representational_models_Joern_2016.pdf | Representational models]] paper by Joern and Niko (in preparation)

[[Media:Exercises_Joern_CoSMo2016.pdf | Tutorial instructions]] and [[Media:Exercise_Joern_CoSMo2016.mat | dataset]]

[https://github.com/rsagroup/rsatoolbox RSA tooblox] on Github

== Motor control & learning ==
''Aug 10 & 11'' 
Lecturers: Reza Shadmehr, John Krakauer, & Alaa Ahmed

[[Media:Neural_prelude_to_movement_Reza_CoSMo2016.pdf | Reza's slides]] 

[https://umn.webex.com/umn/lsr.php?RCID=736b51abdbf44ed5a04b7819d9d5ae0e Link] to Wed lecture video.

[https://umn.webex.com/umn/lsr.php?RCID=e6e9fa863c6d4ec8bbc2c081110638e5 Link] to Thurs lecture video (better video forthcoming). [https://drive.google.com/open?id=0B8bK-gM8hHDpT2pfZDdoTDZSSVE Here] are pictures of the whiteboard from Reza's talk.

[https://www.youtube.com/channel/UCsktEryM0y0WqtXIMjnHcZA JHU learning theory YouTube channel]: Reza teaching

Individual Meeting Sign-up Sheets:
[https://docs.google.com/spreadsheets/d/1hCLyf85YzAvySz2dlovnDnjteEHMf9k3sSE0AZGUsKA/edit?usp=sharing Reza Shadmehr]
[https://docs.google.com/spreadsheets/d/1IvgXUIJKJukkGS59D051Gw5buZEcNWHQXQpyMmhOe0E/edit?usp=sharing John Krakauer]
[https://docs.google.com/spreadsheets/d/1aaPYPTEXQjZBPLTnfuiYkppdl4-5ikhVpgGShx9L3FY/edit?usp=sharing Alaa Ahmed]

'''Afternoon tutorials - Aug 10''' 
[[Media:Assignment_Alaa_CoSMo2016.pdf | Assignment instructions]] 
[[Media:EffMassDounskaia_2016.mat | Data]] and [[Media:Minjerk.m | associated Matlab file]]

== DREAM database - Shared data and models for CoSMo projects ==
''Jul 31 - Aug 14'' 
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 [https://crcns.org/join_form?came_from=http%3A//crcns.org/data-sets/movements/dream/downloading-dream 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: [http://klab.smpp.northwestern.edu/wiki/images/d/d2/AllDream.zip 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 [[Media:LoadDreamPaths.m | 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).
*[[Media:Burns_2010.pdf | Burns]] -- reaching with head tilt and left/right visual perturbations 
*[[Media:Corbett_2013.pdf | Corbett]] -- reach trajectory predictions based on EMG and gaze movements 
*[[Media:Fernandes_2012_e1_published.pdf | Fernandes]] -- reaching with uncertain and rotated midpoint feedback 
*[[Media:Flint_2012.pdf | Flint]] -- decoding of reaching movements from local field potentials 
*[[Media:Kording_2004.pdf | Kording]] -- reaching with uncertain midpoint feedback 
*[[Media:Mattar_and_Ostry_2007.pdf | Mattar 07]] -- generalizing from one, two or multi targets to another direction 
*[[Media:Mattar_and_Ostry.pdf | Mattar 10]] -- reaching to a distance (short/long), generalizing to the other one (long/short) 
*[[Media:Somatosensory_Plasticity_and_Motor_Learning.pdf | Ostry]] -- move in force field, get an estimation of where the hand is 
*[[Media:Scott_2001.pdf | Scott]] -- monkey (no spike), center out: even and not evenly distributed targets, also a forward/back 
*[[Media:Stevenson2011.pdf | Stevenson]] -- center out, monkey with neural time stamps 
*[[Media:Thoroughman_2005.pdf | Thoroughman]] -- reach adaptation to perturbations with different complexity 
*[[Media:Vahdat_2011.pdf | Vahdat]] -- movement in force field with FMRI scans pre/post learning 
*[[Media:Wei_Relevance_Error_Motor_Adapt_2008.pdf | Wei 08]] -- visual perturbations, cursor shown only at target 
*[[Media:Wei_2010.pdf | Wei 10]] -- movement in differing force fields 
*[[Media:Young_2009.pdf | Young]] -- movement time stayed the same, but distance changed; fast, medium, slow reaches. 

== Group projects ==
''Jul 31 - Aug 14''

[https://docs.google.com/document/d/1uSXjGmlbal8-Y3qmbntZYRA9in3Re2bCTWcA19c00yI/edit?usp=sharing Here] are some ideas for 2-week project topics. 

[[Media:HowtoModel_CoSMo2016.pdf | How-to-model tutorial]] (Aug 2, evening) 

[[Media:GroupProjectPresentationTemplate_CoSMo2016.pptx | Template for final project presentations]] 

'''Instructions:''' Every group will have a 30min slot (20min presentation, 10min questions). The research question, hypotheses and rationale for the choice of the approach should be clearly presented. Models, simulations, results, discussion etc should be detailed enough for everyone to follow. 
'''Best group gets a free short talk at TCMC 2016!!!''' (confirmed by John Krakauer) 
Here is a link to the SfN [https://www.sfn.org/annual-meeting/neuroscience-2016/sessions-and-events/satellite-events satellite events] - submission deadline Sept 1 !!! The winner has to apply too and specify you are CoSMo 2016 project winner... 

'''PROJECT PRESENTATIONS (Aug 13)''' 

''4:00-4:30pm - The Name’s Irrelephant'' 
"Encoding Sequentially Presented Items with a Recurrent Memory Network" 
Group: Charles Holmes, Silvia Maggi, Kevin Willeford 
[https://drive.google.com/file/d/0B9R9s19vjIEJSDhWUGttenJFS0U/view?ts=57b3181e Slides] 

''4:30-5:00 - Neuro Miners'' 
"Towards bayesian decoding of ECoG channels" 
Group: Shuchen, Ali Marjaninejad, Rajat 
[[Media:BayesianDecoders.pptx.pdf | Slides]] 

''5:00-5:30 - Granger Danger'' 
"Modeling feedback-driven perceptual learning" 
Group: Daniel Lametti, Josh Moskowitz, Xiang Mou 
[[Media:Feedback_driven_perceptual_learning_Moskowitz_Lametti_Mou_COSMO_2016.pdf | Slides]] 

''5:30-6:00 - BASH Group'' 
"Modeling increased learning with intermittent feedback" 
Group: Maria Ayala, Dan Blustein, James Heald, Raphael Schween 
[[Media:BASHteamCoSMo_Presentation_CoSMo2016.pdf | Slides]] 

''6:00-6:30 - Cool, Kalm an' collected'' 
"Modeling the relationship between reward and sensory feedback in sensory motor adaptation" 
Group: Elizabeth, Giacomo, Giulia, Jerry, Patrick 
[[Media:CoSMo2016_GroupProjectPresentation_CKC.pdf | Slides]] 

''Dinner break'' 

''7:00-7:30 - State EsTeamation'' 
"Velocity Modulation given State Estimation Uncertainty" 
Group: Brian Cohn, Clare Palmer, Darius Parvin, Vonne van Polanen, Ivan Trujillo-Priego 

''7:30-8:00 - Horrible Acrylic Nails'' 
"If we only had more time to prepare for this…" 
Group: Nathan Wispinski, Cole Simpson, Claire Chambers, Erik Summerside 

''8:00-8:30 - BayesX'' - '''WINNER !!!''' 
"Environmental consistency increases learning saturation level in a visuomotor rotation task" 
Group: Scott Albert, Lonneke Teunissen, Hannah Sheahan, Koenraad Vandevoorde 
[[Media:Final_presentation_bayesx_for_submission.pdf | Slides]] 

''8:30-9:00 - The Swan Elks'' 
"Dissecting the nature of persistent activity in macaque parietal cortex" 
Group: Nakahashi, Sedaghat, Katz, Weingaertner 
[https://www.dropbox.com/s/xy4xk4gc1hqcv2c/2016_CoSMo_SwanElks_FINAL_VERSION.key?dl=0 Slides] 

''9:00-9:30 - Utterly Unpredictable'' 
"To Go or Not To Go: Bayesian Integration of Stimulus Statistics and Reward Structure in Action Decision Making" 
Group: Quan Lei, Thomas Ringstrom, Huaiyong Zhao