Non-linearity of the interactions between bottom-up and top-down signals in multistable visual perception

1995 ◽  
Vol 17 (7-8) ◽  
pp. 941-947 ◽  
Author(s):  
C. Taddei-Ferretti ◽  
C. Musio ◽  
S. Santillo
Keyword(s):  
Top Down ◽  
2016 ◽  
Vol 46 (8) ◽  
pp. 1735-1747 ◽  
Author(s):  
M. M. van Ommen ◽  
M. van Beilen ◽  
F. W. Cornelissen ◽  
H. G. O. M. Smid ◽  
H. Knegtering ◽  
...  

BackgroundLittle is known about visual hallucinations (VH) in psychosis. We investigated the prevalence and the role of bottom-up and top-down processing in VH. The prevailing view is that VH are probably related to altered top-down processing, rather than to distorted bottom-up processing. Conversely, VH in Parkinson's disease are associated with impaired visual perception and attention, as proposed by the Perception and Attention Deficit (PAD) model. Auditory hallucinations (AH) in psychosis, however, are thought to be related to increased attention.MethodOur retrospective database study included 1119 patients with non-affective psychosis and 586 controls. The Community Assessment of Psychic Experiences established the VH rate. Scores on visual perception tests [Degraded Facial Affect Recognition (DFAR), Benton Facial Recognition Task] and attention tests [Response Set-shifting Task, Continuous Performance Test-HQ (CPT-HQ)] were compared between 75 VH patients, 706 non-VH patients and 485 non-VH controls.ResultsThe lifetime VH rate was 37%. The patient groups performed similarly on cognitive tasks; both groups showed worse perception (DFAR) than controls. Non-VH patients showed worse attention (CPT-HQ) than controls, whereas VH patients did not perform differently.ConclusionsWe did not find significant VH-related impairments in bottom-up processing or direct top-down alterations. However, the results suggest a relatively spared attentional performance in VH patients, whereas face perception and processing speed were equally impaired in both patient groups relative to controls. This would match better with the increased attention hypothesis than with the PAD model. Our finding that VH frequently co-occur with AH may support an increased attention-induced ‘hallucination proneness’.


2019 ◽  
Author(s):  
Nadine Dijkstra ◽  
Sander Erik Bosch ◽  
Marcel van Gerven

For decades, the extent to which visual imagery relies on similar neural mechanisms as visual perception has been a topic of debate. Here, we review recent neuroimaging studies comparing these two forms of visual experience. Their results suggest that there is large overlap in neural processing during perception and imagery: neural representations of imagined and perceived stimuli are similar in visual, parietal and frontal cortex. Furthermore, perception and imagery seem to rely on similar top-down connectivity. The most prominent difference is the absence of bottom-up processing during imagery. These findings fit well with the idea that imagery and perception rely on similar emulation or prediction processes.


Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 770
Author(s):  
Chongchong Jin ◽  
Zongju Peng ◽  
Wenhui Zou ◽  
Fen Chen ◽  
Gangyi Jiang ◽  
...  

Multiview video plus depth is one of the mainstream representations of 3D scenes in emerging free viewpoint video, which generates virtual 3D synthesized images through a depth-image-based-rendering (DIBR) technique. However, the inaccuracy of depth maps and imperfect DIBR techniques result in different geometric distortions that seriously deteriorate the users’ visual perception. An effective 3D synthesized image quality assessment (IQA) metric can simulate human visual perception and determine the application feasibility of the synthesized content. In this paper, a no-reference IQA metric based on visual-entropy-guided multi-layer features analysis for 3D synthesized images is proposed. According to the energy entropy, the geometric distortions are divided into two visual attention layers, namely, bottom-up layer and top-down layer. The feature of salient distortion is measured by regional proportion plus transition threshold on a bottom-up layer. In parallel, the key distribution regions of insignificant geometric distortion are extracted by a relative total variation model, and the features of these distortions are measured by the interaction of decentralized attention and concentrated attention on top-down layers. By integrating the features of both bottom-up and top-down layers, a more visually perceptive quality evaluation model is built. Experimental results show that the proposed method is superior to the state-of-the-art in assessing the quality of 3D synthesized images.


2008 ◽  
Vol 05 (01) ◽  
pp. 3-24 ◽  
Author(s):  
JAN MORÉN ◽  
ALEŠ UDE ◽  
ANSGAR KOENE ◽  
GORDON CHENG

An adaptive perception system enables humanoid robots to interact with humans and their surroundings in a meaningful context-dependent manner. An important foundation for visual perception is the selectivity of early vision processes that enables the system to filter out low-level unimportant information while attending to features indicated as important by higher-level processes by way of top-down modulation. We present a novel way to integrate top-down and bottom-up processing for achieving such attention-based filtering. We specifically consider the case where the top-down target is not the most salient in any of the used submodalities.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
N. Dijkstra ◽  
P. Zeidman ◽  
S. Ondobaka ◽  
M. A. J. van Gerven ◽  
K. Friston

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