2002
DOI: 10.1093/cercor/12.6.601
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Spatial Receptive Field Organization of Macaque V4 Neurons

Abstract: Subfield analysis of the receptive fields (RFs) of parafoveal V4 complex cells demonstrates directly that most RFs are tiled by overlapping second-order excitatory inputs that for any given V4 cell are predominantly selective to the same preferred values of spatial frequency and orientation. These results extend hierarchical principles of RF organization in the spatial, orientation and spatial frequency domains, first recognized in V1, to an intermediate extrastriate cortex. Spatial interaction studies across … Show more

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Cited by 55 publications
(46 citation statements)
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“…This neuron exhibited strong orientation tuning to single Gabors (top row and right column). Consistent with a previous report (Pollen et al, 2002), orientation tuning was similar at the two positions. When a single Gabor was presented in the receptive field, average responses were consistently higher when attention was directed within the receptive field (solid lines) than when it was directed outside of the receptive field (dashed lines).…”
Section: Attentional Modulation Of Responsessupporting
confidence: 92%
See 1 more Smart Citation
“…This neuron exhibited strong orientation tuning to single Gabors (top row and right column). Consistent with a previous report (Pollen et al, 2002), orientation tuning was similar at the two positions. When a single Gabor was presented in the receptive field, average responses were consistently higher when attention was directed within the receptive field (solid lines) than when it was directed outside of the receptive field (dashed lines).…”
Section: Attentional Modulation Of Responsessupporting
confidence: 92%
“…For such stimulus pairs, the attended position dominates the response (A, center and right). The paired response surface for attend out shows that responses to pairs of stimuli are not necessarily simply predicted from single-stimulus responses (Pollen et al, 2002). For example, a simple averaging model is inadequate because, with such a model, the strongest response would be limited to preferred stimuli in both positions (top left corner).…”
Section: Attentional Modulation Of Responsesmentioning
confidence: 99%
“…Our approach is similar, but competition occurs after pooling. It is based on lateral short-range excitory and long-range inhibitory connections within the population, which is in accordance with ÿndings in V4 [8,29]. With respect to pooling, our simulations suggest that an additional max-like competition among a erents would prevent a bias due to the fact that multiple distractors add up their competitive weight.…”
Section: Discussionsupporting
confidence: 85%
“…The V4 layer is simulated by a single population of the same size on which the V2 populations project. We consider feedforward, lateral excitory and inhibitory input and spatially organized attentional feedback as relevant factors (see [29]), but do not model feedback from IT. Each V4 cell receives a weighted input from each V2 population (Eq.…”
Section: Article In Pressmentioning
confidence: 99%
“…Rather, visual stimuli must contain the essential parts simultaneously in order for the summed excitation to overcome the spiking threshold. This type of nonlinearity is thought to be a source of the problem in mapping response profiles in a part-by-part manner using elementary stimuli such as a bar or a patch of grating (Pollen et al, 2002). The LSRC method may, at least partly, overcome this difficulty.…”
Section: Overcoming High Threshold and Nonlinearities For Studying Himentioning
confidence: 99%