| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |
|
|
|
|||||||
|
|||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 Department of Physiology, The Hebrew University of Jerusalem, Jerusalem, Israel
2 Department of Physiology, The Hebrew University of Jerusalem, Jerusalem, Israel; The Interdisciplinary Center for Neural Computation, The Hebrew University of Jerusalem, Jerusalem, Israel
3 Department of Physiology, The Hebrew University of Jerusalem, Jerusalem, Israel; The Interdisciplinary Center for Neural Computation, The Hebrew University of Jerusalem, Jerusalem, Israel; Gonda Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel
* To whom correspondence should be addressed. E-mail: eranstark{at}md.huji.ac.il.
A classical question in neuroscience is which features of a stimulus or of an action are represented in brain activity. When several features are interdependent either at a given point in time or at distinct points in time, neural activity related to one feature appears to be correlated with other features. Thus, techniques that simultaneously consider multiple features cannot account for delayed interdependencies between features. The result is an ambiguity with respect to the encoded features. Here, we resolve this ambiguity by applying a novel statistical method based on partial cross-correlations. The method yields estimates of linear correlations between neural activity and a given feature that are not affected by linear correlations with other features at multiple time delays. The method also provides a graphical output measured on a scale which allows for comparisons between different features, neurons, and experiments. We use real movement data and neural activity simulated according to a wide range of tuning models to illustrate the method. When applied to real neural activity, the procedure yields results that indicate which of the considered features the neural activity is related to, and at what time delays.
This article has been cited by other articles:
|
|
 |
|
  D. Tkach, J. Reimer, and N. G. Hatsopoulos Congruent Activity during Action and Action Observation in Motor Cortex J. Neurosci., November 28, 2007; 27(48): 13241 - 13250. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
E. Stark and M. Abeles Predicting Movement from Multiunit Activity J. Neurosci., August 1, 2007; 27(31): 8387 - 8394. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. M. Churchland and K. V. Shenoy Temporal Complexity and Heterogeneity of Single-Neuron Activity in Premotor and Motor Cortex J Neurophysiol, June 1, 2007; 97(6): 4235 - 4257. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. G. Hatsopoulos, Q. Xu, and Y. Amit Encoding of Movement Fragments in the Motor Cortex J. Neurosci., May 9, 2007; 27(19): 5105 - 5114. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |
| Visit Other APS Journals Online |
