%A Crumiller,Marshall 
%A Knight,Bruce 
%A Yu,Yunguo 
%A Kaplan,Ehud     
    
%D 2011      
    
%J Frontiers in Neuroscience      
    
%C   
   
%F    
    
%G English    
    
%K Frequency analysis,Information,Neural population,Redundancy    
    
%Q    
    
%R 10.3389/fnins.2011.00090    
    
%W     
    
%L     
    
%N      
    
%M     
    
%P    
    
%7     
    
%8 2011-July-15    
    
%9 Focused Review    
    
%+ (Mr Marshall Crumiller,mcrumiller@gmail.com)
%+ (Mr Bruce Knight,The Rockefeller University,Laboratory of Biophysics,New York,10065,NY,USA,knight@mail.rockefeller.edu)
%+ (Dr Yunguo Yu,The Weill Medical College of Cornell University,Neuroscience,New York,10065,NY,USA,yuyunguo@gmail.com)
%+ (Dr Ehud Kaplan,The Mount Sinai School of Medicine,The Friedman Brain Institute,New York,10029,NY,USA,ehud.kaplan@mssm.edu)    
    
%#     
    
%! Estimating information in neuronal populations    
    
%*     
    
%<     
    
%T Estimating the amount of information conveyed by a population of neurons      
    
%U http://www.frontiersin.org/Journal/Abstract.aspx?f=55&name=neuroscience&ART_DOI=10.3389/fnins.2011.00090    
    
%V 5       
      
%0 JOURNAL ARTICLE    
    
%@ 1662-453X    
    
%X Recent technological advances have made the simultaneous recording of the activity of many neurons common. However, estimating the amount of information conveyed by the discharge of
a neural population remains a significant challenge. Here we describe our recently published analysis method that assists in such estimates. We describe the key concepts and assumptions on which the method is based, illustrate its use with both simulated neurons and real data recorded from the lateral geniculate nucleus (LGN) of a monkey, and show how it can be used to calculate redundancy and synergy among neuronal groups.