How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?-Reference-Cited by-同舟云学术

How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?

Published:1997-03-01 Issue:3 Volume:9 Page:649-665
ISSN:0899-7667
Container-title:Neural Computation
language:en
Short-container-title:Neural Computation

Author:

Golomb David¹,Hertz John²,Panzeri Stefano³,Treves Alessandro⁴,Richmond Barry⁵

Affiliation:

1. Zlotowski Center for Neuroscience and Department of Physiology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel

2. Nordita, Copenhagen, Denmark

3. Department of Experimental Psychology, Oxford University, Oxford OX1 3UD, U.K.

4. SISSA, Biophysics and Cognitive Neuroscience, Trieste, Italy

5. Laboratory of Neuropsychology, NIMH, NIH, Bethesda, MD, USA

Abstract

It is difficult to extract the information carried by neuronal responses about a set of stimuli because limited data samples result in biased es timates. 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.

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience,Arts and Humanities (miscellaneous)

Link

https://www.mitpressjournals.org/doi/pdf/10.1162/neco.1997.9.3.649

Reference19 articles.

1. Representational Capacity of Face Coding in Monkeys

2. Reading a Neural Code

3. On the bias of information estimates.

4. The rate of information transfer at graded-potential synapses

5. How independent are the messages carried by adjacent inferior temporal cortical neurons?

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