JN Ad Instruments
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

J Neurophysiol 94: 8-25, 2005; doi:10.1152/jn.00648.2004
0022-3077/05 $8.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (44)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kass, R. E.
Right arrow Articles by Brown, E. N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kass, R. E.
Right arrow Articles by Brown, E. N.

INVITED REVIEW

Statistical Issues in the Analysis of Neuronal Data

Robert E. Kass1, Valérie Ventura1 and Emery N. Brown2

1Department of Statistics and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania; and 2Neuroscience Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, and the Division of Health Sciences and Technology, Harvard Medical School, Massachusetts Institute of Technology, Boston, Massachusetts

Submitted 25 June 2004; accepted in final form 19 February 2005

ABSTRACT

Analysis of data from neurophysiological investigations can be challenging. Particularly when experiments involve dynamics of neuronal response, scientific inference can become subtle and some statistical methods may make much more efficient use of the data than others. This article reviews well-established statistical principles, which provide useful guidance, and argues that good statistical practice can substantially enhance results. Recent work on estimation of firing rate, population coding, and time-varying correlation provides improvements in experimental sensitivity equivalent to large increases in the number of neurons examined. Modern nonparametric methods are applicable to data from repeated trials. Many within-trial analyses based on a Poisson assumption can be extended to non-Poisson data. New methods have made it possible to track changes in receptive fields, and to study trial-to-trial variation, with modest amounts of data.

Address for reprint requests and other correspondence: V. Ventura, Department of Statistics and Center for the Neural Basis of Cognition, 5000 Forbes Ave., Baker Hall 132 Carnegie Mellon University, Pittsburgh, PA 15213 (E-mail: vventura{at}stat.cmu.edu)




This article has been cited by other articles:


Home page
 Proc. Natl. Acad. Sci. USAHome page
V. Ventura
Traditional waveform based spike sorting yields biased rate code estimates
PNAS, April 28, 2009; 106(17): 6921 - 6926.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
S. Grun
Data-Driven Significance Estimation for Precise Spike Correlation
J Neurophysiol, March 1, 2009; 101(3): 1126 - 1140.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
G. Czanner, U. T. Eden, S. Wirth, M. Yanike, W. A. Suzuki, and E. N. Brown
Analysis of Between-Trial and Within-Trial Neural Spiking Dynamics
J Neurophysiol, May 1, 2008; 99(5): 2672 - 2693.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
E. F. Chang, R. S. Turner, J. L. Ostrem, V. R. Davis, and P. A. Starr
Neuronal Responses to Passive Movement in the Globus Pallidus Internus in Primary Dystonia
J Neurophysiol, December 1, 2007; 98(6): 3696 - 3707.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
R. Silver, K. Boahen, S. Grillner, N. Kopell, and K. L. Olsen
Neurotech for Neuroscience: Unifying Concepts, Organizing Principles, and Emerging Tools
J. Neurosci., October 31, 2007; 27(44): 11807 - 11819.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
A. Thiel, M. Greschner, C. W. Eurich, J. Ammermuller, and J. Kretzberg
Contribution of Individual Retinal Ganglion Cell Responses to Velocity and Acceleration Encoding
J Neurophysiol, October 1, 2007; 98(4): 2285 - 2296.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurosci.Home page
M. Avissar, A. C. Furman, J. C. Saunders, and T. D. Parsons
Adaptation Reduces Spike-Count Reliability, But Not Spike-Timing Precision, of Auditory Nerve Responses
J. Neurosci., June 13, 2007; 27(24): 6461 - 6472.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
N. Inaba, S. Shinomoto, S. Yamane, A. Takemura, and K. Kawano
MST Neurons Code for Visual Motion in Space Independent of Pursuit Eye Movements
J Neurophysiol, May 1, 2007; 97(5): 3473 - 3483.
[Abstract] [Full Text] [PDF]

Home page
 J. Physiol.Home page
J. D. Victor, E. M. Blessing, J. D. Forte, P. Buzas, and P. R. Martin
Response variability of marmoset parvocellular neurons
J. Physiol., February 15, 2007; 579(1): 29 - 51.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
R. M. Davies, G. L. Gerstein, and S. N. Baker
Measurement of Time-Dependent Changes in the Irregularity of Neural Spiking
J Neurophysiol, August 1, 2006; 96(2): 906 - 918.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
J. M. Samonds, Z. Zhou, M. R. Bernard, and A. B. Bonds
Synchronous Activity in Cat Visual Cortex Encodes Collinear and Cocircular Contours
J Neurophysiol, April 1, 2006; 95(4): 2602 - 2616.
[Abstract] [Full Text] [PDF]

Home page
 J. Neurophysiol.Home page
V. Ventura, C. Cai, and R. E. Kass
Trial-to-Trial Variability and Its Effect on Time-Varying Dependency Between Two Neurons
J Neurophysiol, October 1, 2005; 94(4): 2928 - 2939.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2005 by the The American Physiological Society.