Analysis and interpretation of quadratic models of receptive fields

被引:4
作者
Berkes, Pietro [1 ]
Wiskott, Laurenz [2 ]
机构
[1] Gatsby Computat Neurosci Unit, London WC1N 3AR, England
[2] Humboldt Univ, Inst Theoret Biol, D-10115 Berlin, Germany
关键词
D O I
10.1038/nprot.2007.27
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In this protocol, we present a procedure to analyze and visualize models of neuronal input - output functions that have a quadratic, a linear and a constant term, to determine their overall behavior. The suggested interpretations are close to those given by physiological studies of neurons, making the proposed methods particularly suitable for the analysis of receptive fields resulting from physiological measurements or model simulations.
引用
收藏
页码:400 / 407
页数:8
相关论文
共 22 条
[1]   SPATIOTEMPORAL ENERGY MODELS FOR THE PERCEPTION OF MOTION [J].
ADELSON, EH ;
BERGEN, JR .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1985, 2 (02) :284-299
[2]  
Bartsch H, 2003, NEUROCOMPUTING, V52-4, P467, DOI [10.1016/S0925-2312(02)00734-8, 10.1016/SO925-2312(02)00734-8]
[3]   Slow feature analysis yields a rich repertoire of complex cell properties [J].
Berkes, P ;
Wiskott, L .
JOURNAL OF VISION, 2005, 5 (06) :579-602
[4]  
Berkes P, 2002, LECT NOTES COMPUT SC, V2415, P81
[5]   On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields [J].
Berkes, Pietro ;
Wiskott, Laurenz .
NEURAL COMPUTATION, 2006, 18 (08) :1868-1895
[6]   A unifying view of Wiener and Volterra theory and polynomial kernel regression [J].
Franz, Matthias O. ;
Schoelkopf, Bernhard .
NEURAL COMPUTATION, 2006, 18 (12) :3097-3118
[7]   Quadratic forms in natural images [J].
Hashimoto, W .
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2003, 14 (04) :765-788
[8]   Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces [J].
Hyvärinen, A ;
Hoyer, P .
NEURAL COMPUTATION, 2000, 12 (07) :1705-1720
[9]   A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images [J].
Hyvärinen, A ;
Hoyer, PO .
VISION RESEARCH, 2001, 41 (18) :2413-2423
[10]   AN EVALUATION OF THE TWO-DIMENSIONAL GABOR FILTER MODEL OF SIMPLE RECEPTIVE-FIELDS IN CAT STRIATE CORTEX [J].
JONES, JP ;
PALMER, LA .
JOURNAL OF NEUROPHYSIOLOGY, 1987, 58 (06) :1233-1258