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@inproceedings{726361,
author = {Lánský, Petr and Pokora, Ondřej and Rospars, JeanandPierre},
address = {Berlin / Heidelberg},
booktitle = {Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729},
keywords = {neuronal coding},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin / Heidelberg},
isbn = {978-3-540-75554-8},
pages = {338-349},
publisher = {Springer},
title = {Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision},
url = {http://dx.doi.org/10.1007/978-3-540-75555-5_32},
year = {2007}
}
TY - JOUR
ID - 726361
AU - Lánský, Petr - Pokora, Ondřej - Rospars, Jean-Pierre
PY - 2007
TI - Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision
PB - Springer
CY - Berlin / Heidelberg
SN - 9783540755548
KW - neuronal coding
UR - http://dx.doi.org/10.1007/978-3-540-75555-5_32
N2 - To study sensory neurons, the neuron response is plotted versus stimulus level. The aim of the present contribution is to determine how well two different levels of the incoming stimulation can be distinguished on the basis of their evoked responses. Two generic models of response function are presented and studied under the influence of noise. We show that the most suitable signal, from the point of view of its identification, is not unique. To obtain the best identification we propose to use measures based on Fisher information. For these measures, we show that the most identifiable signal may differ from that derived when the noise is neglected.
ER -
LÁNSKÝ, Petr, Ondřej POKORA a Jean-Pierre ROSPARS. Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision. In \textit{Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729}. Berlin / Heidelberg: Springer, 2007, s.~338-349. ISBN~978-3-540-75554-8.
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