Analysing visual receptive fields through generalised additive models with interactions
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099/13297
Tipus de documentArticle
Data publicació2012
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Visual receptive fields (RFs) are small areas of the visual fie
ld where a stimulus induces a re-
sponses of a particular neuron from the visual system. RFs ca
n be mapped using reverse cross-
correlation technique, which produces raw matrices contai
ning both spatial and temporal informa-
tion about the RF. Though this technique is frequently used i
n electrophysiological experiments,
it does not allow formal comparisons between RFs obtained un
der different experimental condi-
tions. In this paper we propose the use of Generalised Additi
ve Models (GAM) including com-
plex interactions, to obtain smoothed spatio-temporal ver
sions of RFs. Moreover, the proposed
methodology also allow for the statistical comparisons of t
he RFs obtained across various experi-
mental conditions. Data analysed here derive from studies o
f neurons’ activity in the visual cortex
of behaving monkeys. Our results suggest that the GAM-based
technique proposed in this paper
can be a flexible and powerful tool for assessing receptive fie
ld properties
CitacióRodríguez Álvarez, María Xosé; Cadarso-Suárez, Carmen; González, Francisco. Analysing visual receptive fields through generalised additive models with interactions. "SORT", vol. 36, núm. 1, p. 3-32.
ISSN1696-2281
Fitxers | Descripció | Mida | Format | Visualitza |
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36.1.1.rodriguez-etal.pdf | 806,0Kb | Visualitza/Obre |