About: Classification of stimuli based on stimulus-response curves and their variability

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Neuronal responses evoked in sensory neurons by static stimuli of various intensities are usually characterized by their input-output transfer function, i.e. by plotting the firing frequency (or any other measurable neuron response) versus the corresponding stimulus intensity. The aim of the present article is to determine the stimulus intensities which can be considered as %22the most important%22 from two different points of view: transferring as much information as possible and coding the intensity as precisely as possible. These two problems are very different because, for example, an informative signal may be difficult to identify. We show that the role of noise is crucial in both problems. To obtain the range of stimuli which are the best identified, we propose to use measures based on Fisher information as known from the theory of statistical inference. To classify the most important stimuli from the point of view of information transfer, we suggest methods based on information theory. Neuronal responses evoked in sensory neurons by static stimuli of various intensities are usually characterized by their input-output transfer function, i.e. by plotting the firing frequency (or any other measurable neuron response) versus the corresponding stimulus intensity. The aim of the present article is to determine the stimulus intensities which can be considered as %22the most important%22 from two different points of view: transferring as much information as possible and coding the intensity as precisely as possible. These two problems are very different because, for example, an informative signal may be difficult to identify. We show that the role of noise is crucial in both problems. To obtain the range of stimuli which are the best identified, we propose to use measures based on Fisher information as known from the theory of statistical inference. To classify the most important stimuli from the point of view of information transfer, we suggest methods based on information theory. (en)
Title	Classification of stimuli based on stimulus-response curves and their variability Classification of stimuli based on stimulus-response curves and their variability (en)
skos:prefLabel	Classification of stimuli based on stimulus-response curves and their variability Classification of stimuli based on stimulus-response curves and their variability (en)
skos:notation	RIV/00216224:14310/08:00024208!RIV10-MSM-14310___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1ET400110401), P(GD201/05/H007), P(LC06024), P(LC554), Z(AV0Z50110509)
http://linked.open...iv/cisloPeriodika	srpen 2008
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Lánský, Petr Pokora, Ondřej
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	360099
http://linked.open...ai/riv/idVysledku	RIV/00216224:14310/08:00024208
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Fisher information; Information theory; Noise; Response curve; Sensory neurons; Stimulus identification (en)
http://linked.open.../riv/klicoveSlovo	Noise Fisher information Information theory Response curve Sensory neurons Stimulus identification
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[FDAE1241674C]
http://linked.open...i/riv/nazevZdroje	Brain Research
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Principles of information processing in neurons and their applications Jaroslav Hájek Center for Theoretical and Applied Statistics Neuroscience Centre Statistical dynamical models and their applications in economics, technicques and natural sciences
http://linked.open...UplatneniVysledku	2008
http://linked.open...v/svazekPeriodika	Volume 122
http://linked.open...iv/tvurceVysledku	Lánský, Petr Pokora, Ondřej Rospars, Jean-Pierre
http://linked.open...ain/vavai/riv/wos	000258954600007
http://linked.open...n/vavai/riv/zamer	Výzkum molekulárních a buněčných základů fyziologických a patofyziologických procesů s cílem objasnit mechanismy vzniku závažných onemocnění člověka
issn	0006-8993
number of pages	10 (xsd:int)
http://localhost/t...ganizacniJednotka	14310
is http://linked.open...avai/riv/vysledek of	Classification of stimuli based on stimulus-response curves and their variability Classification of stimuli based on stimulus-response curves and their variability Classification of stimuli based on stimulus-response curves and their variability Classification of stimuli based on stimulus-response curves and their variability

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