How well can we estimate the information carried in neuronal responses from limited samples?

被引：58

作者：

Golomb, D

Hertz, J

Panzeri, S

Treves, A

Richmond, B

机构：

[1] BEN GURION UNIV NEGEV,DEPT PHYSIOL,FAC HLTH SCI,IL-84105 BEER SHEVA,ISRAEL

[2] NORDITA,DK-2100 COPENHAGEN,DENMARK

[3] UNIV OXFORD,DEPT EXPT PSYCHOL,OXFORD OX1 3UD,ENGLAND

[4] SISSA,BIOPHYS & COGNIT NEUROSCI,I-34014 TRIESTE,ITALY

[5] NIMH,NIH,NEUROPSYCHOL LAB,BETHESDA,MD 20892

来源：

NEURAL COMPUTATION | 1997年 / 9卷 / 03期

关键词：

D O I：

10.1162/neco.1997.9.3.649

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is difficult to extract the information carried by neuronal responses about a set of stimuli because limited data samples result in biased estimates. Recently two improved procedures have been developed to calculate information from experimental results: a binning-and-correcting procedure and a neural network procedure. We have used data produced from a model of the spatiotemporal receptive fields of parvocellular and magnocellular lateral geniculate neurons to study the performance of these methods as a function of the number of trials used. Both procedures yield accurate results for one-dimensional neuronal codes. They can also be used to produce a reasonable estimate of the extra information in a three-dimensional code, in this instance, within 0.05-0.1 bit of the asymptotically calculated value-about 10% of the total transmitted information. We believe that this performance is much more accurate than previous procedures.

引用

页码：649 / 665

页数：17

共 25 条

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