[visionlist] Call for papers: Statistical analysis of multi-electrode recordings

[Jakob Macke]

Dear all,

we are inviting submissons for a special topic in Frontiers in Computational Neuroscience,  entitled 'Statistical analysis of multi-cell recordings: Linking population coding models to experimental data'.

Short abstracts/outlines describing the focus of the study should be submitted by October 1st, the  deadline for submitting full papers will be November 15.  More details can be found in the attached call for papers, as well as at
http://frontiersin.org/computationalneuroscience/specialtopics/36/ .

This special topic is connected to a one day workshop at the Computational Neuroscience Meeting 2009 in Berlin:
http://www.cnsorg.org/2009/workshops.shtml
http://www.kyb.tuebingen.mpg.de/bethge/workshops/cns2009/ .

Best regards,

Matthias Bethge, Jakob Macke and Philipp Berens




Statistical analysis of multi-cell recordings: Linking population coding models to experimental data

HOSTED BY
Matthias Bethge, mbethge at tuebingen.mpg.de,  Jakob Macke, jakob at tuebingen.mpg.de and Philipp Berens, philipp.berens at tuebingen.mpg.de

ABOUT THE SPECIAL TOPIC
Modern recording techniques such as multi-electrode arrays and 2-photon imaging are capable of simultaneously monitoring the activity of large neuronal ensembles at single cell resolution. This makes it possible to study the dynamics of neural populations of considerable size, and to gain insights into their computations and functional organization. The key challenge with multi-electrode recordings is their high-dimensional nature. Understanding this kind of data requires powerful statistical techniques for capturing the structure of the neural population responses and their relation with external stimuli or behavioral observations.

Contributions to this special topic should  advance statistical modeling of neural populations. Questions of particular interest include:

1. What classes of statistical methods are most useful for modeling population activity?
2. What are the main limitations of current approaches, and what can be done to overcome them?
3. How can statistical methods be used to empirically test existing models of (probabilistic) population coding?
4. What role can statistical methods play in formulating novel hypotheses about the principles of information processing in neural populations?

This Special Topic is connected to a one day workshop at the Computational Neuroscience Meeting 2009 in Berlin (http://www.cnsorg.org/2009/workshops.shtml and http://www.kyb.tuebingen.mpg.de/bethge/workshops/cns2009/).

DEADLINE FOR SUBMISSION
November 15, 2009

INFORMATIONS FOR AUTHORS
Submission Procedure:

Researchers are invited to submit on or before October 1st 2009 a max. 1 page abstract/outline of work related to the focus of the special section to Philipp Berens for consideration for potential inclusion as an elaborated full article in the special topic.

Please include a provisional title, a full author list, and format the subject of your email as follows: "[Statistical Modeling] outline - Your Name". Authors will be notified whether their article would be suitable for the special topic by  October 15th 2009.

Full Article Information:

Full articles will be invited based on the abstracts/outlines we receive by October 1st 2009

The deadline for submission of invited full articles is November 15th 2009. All articles will go through a full peer review process.

Article formatting will be as for standard Frontiers "Original Research Articles". Guidelines and instructions for their preparation can be     found at www.frontiersin.org/authorinstructions#manuscriptGuidelines.

Frontiers is an open access journal, following a pay-for-publication model. You will find more details on http://frontiersin.org/publicationfees/

-- 
Jakob Macke

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