Connectionists: 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/

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