%A Yu,Yunguo 
%A Crumiller,Marshall 
%A Knight,Bruce 
%A Kaplan,Ehud     
    
%D 2010      
    
%J Frontiers in Computational Neuroscience      
    
%C   
   
%F    
    
%G English    
    
%K information,neural population,redundancy,thalamus    
    
%Q    
    
%R 10.3389/fncom.2010.00010    
    
%W     
    
%L     
    
%N      
    
%M     
    
%P    
    
%7     
    
%8 2010-April-26    
    
%9 Original Research    
    
%+ (Dr Yunguo Yu,The Mount Sinai School of Medicine,Neuroscience Department,New York City,USA,yuyunguo@gmail.com)
%+ (Marshall Crumiller,mcrumiller@gmail.com)
%+ (Bruce Knight,The Rockefeller University,New York City,USA,knight@mail.rockefeller.edu)
%+ (Dr Ehud Kaplan,ehud.kaplan@mssm.edu)    
    
%#     
    
%!  Estimating information in neuronal populations    
    
%*     
    
%<     
    
%T Estimating the amount of information carried by a neuronal population      
    
%U http://www.frontiersin.org/Journal/Abstract.aspx?s=237&name=computational neuroscience&ART_DOI=10.3389/fncom.2010.00010    
    
%V 4       
      
%0 JOURNAL ARTICLE    
    
%@ 1662-5188    
    
%X Although all brain functions require coordinated activity of many neurons, it has been difficult to estimate the amount of information carried by a population of spiking neurons. We present here a Fourier-based method for estimating the information delivery rate from a population of neurons, which allows us to measure the redundancy of information within and between functional neuronal classes. We illustrate the use of the method on some artificial spike trains and on simultaneous recordings from a small population of neurons from the lateral geniculate nucleus of an anesthetized macaque monkey.