Analyzing neural responses with vector fields

被引:9
作者
Buneo, Christopher A. [1 ]
机构
[1] Arizona State Univ, Sch Biol & Hlth Syst Engn, Tempe, AZ 85287 USA
基金
美国国家科学基金会;
关键词
Reference frames; Vector correlation; Gradients; Receptive field; Movement field; Separability; MIDDLE TEMPORAL AREA; RECEPTIVE-FIELDS; RELATIVE POSITION; MOTOR CORTEX; DIRECTION; EYE; MOVEMENTS; MACAQUE; REPRESENTATION; DYNAMICS;
D O I
10.1016/j.jneumeth.2011.02.008
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Analyzing changes in the shape and scale of single cell response fields is a key component of many neurophysiological studies. Typical analyses of shape change involve correlating firing rates between experimental conditions or "cross-correlating" single cell tuning curves by shifting them with respect to one another and correlating the overlapping data. Such shifting results in a loss of data, making interpretation of the resulting correlation coefficients problematic. The problem is particularly acute for two dimensional response fields, which require shifting along two axes. Here, an alternative method for quantifying response field shape and scale based on correlation of vector field representations is introduced. The merits and limitations of the methods are illustrated using both simulated and experimental data. It is shown that vector correlation provides more information on response field changes than scalar correlation without requiring field shifting and concomitant data loss. An extension of this vector field approach is also demonstrated which can be used to identify the manner in which experimental variables are encoded in studies of neural reference frames. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:109 / 117
页数:9
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