Analysing visual receptive fields through generalised additive models with interactions
Tipus de documentArticle
EditorInstitut d'Estadística de Catalunya
Condicions d'accésAccés obert
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.