scholarly journals Visual Experience-Dependent Maturation of Correlated Neuronal Activity Patterns in a Developing Visual System

2011 ◽  
Vol 31 (22) ◽  
pp. 8025-8036 ◽  
Author(s):  
H. Xu ◽  
A. S. Khakhalin ◽  
A. V. Nurmikko ◽  
C. D. Aizenman
Author(s):  
Wen-Han Zhu ◽  
Wei Sun ◽  
Xiong-Kuo Min ◽  
Guang-Tao Zhai ◽  
Xiao-Kang Yang

AbstractObjective image quality assessment (IQA) plays an important role in various visual communication systems, which can automatically and efficiently predict the perceived quality of images. The human eye is the ultimate evaluator for visual experience, thus the modeling of human visual system (HVS) is a core issue for objective IQA and visual experience optimization. The traditional model based on black box fitting has low interpretability and it is difficult to guide the experience optimization effectively, while the model based on physiological simulation is hard to integrate into practical visual communication services due to its high computational complexity. For bridging the gap between signal distortion and visual experience, in this paper, we propose a novel perceptual no-reference (NR) IQA algorithm based on structural computational modeling of HVS. According to the mechanism of the human brain, we divide the visual signal processing into a low-level visual layer, a middle-level visual layer and a high-level visual layer, which conduct pixel information processing, primitive information processing and global image information processing, respectively. The natural scene statistics (NSS) based features, deep features and free-energy based features are extracted from these three layers. The support vector regression (SVR) is employed to aggregate features to the final quality prediction. Extensive experimental comparisons on three widely used benchmark IQA databases (LIVE, CSIQ and TID2013) demonstrate that our proposed metric is highly competitive with or outperforms the state-of-the-art NR IQA measures.


2008 ◽  
Vol 6 (37) ◽  
pp. 655-668 ◽  
Author(s):  
Cristina Savin ◽  
Jochen Triesch ◽  
Michael Meyer-Hermann

Homeostatic regulation of neuronal activity is fundamental for the stable functioning of the cerebral cortex. One form of homeostatic synaptic scaling has been recently shown to be mediated by glial cells that interact with neurons through the diffusible messenger tumour necrosis factor-α (TNF-α). Interestingly, TNF-α is also used by the immune system as a pro-inflammatory messenger, suggesting potential interactions between immune system signalling and the homeostatic regulation of neuronal activity. We present the first computational model of neuron–glia interaction in TNF-α-mediated synaptic scaling. The model shows how under normal conditions the homeostatic mechanism is effective in balancing network activity. After chronic immune activation or TNF-α overexpression by glia, however, the network develops seizure-like activity patterns. This may explain why under certain conditions brain inflammation increases the risk of seizures. Additionally, the model shows that TNF-α diffusion may be responsible for epileptogenesis after localized brain lesions.


2017 ◽  
Author(s):  
Daniel Kaiser ◽  
Marius V. Peelen

AbstractTo optimize processing, the human visual system utilizes regularities present in naturalistic visual input. One of these regularities is the relative position of objects in a scene (e.g., a sofa in front of a television), with behavioral research showing that regularly positioned objects are easier to perceive and to remember. Here we use fMRI to test how positional regularities are encoded in the visual system. Participants viewed pairs of objects that formed minimalistic two-object scenes (e.g., a “living room” consisting of a sofa and television) presented in their regularly experienced spatial arrangement or in an irregular arrangement (with interchanged positions). Additionally, single objects were presented centrally and in isolation. Multi-voxel activity patterns evoked by the object pairs were modeled as the average of the response patterns evoked by the two single objects forming the pair. In two experiments, this approximation in object-selective cortex was significantly less accurate for the regularly than the irregularly positioned pairs, indicating integration of individual object representations. More detailed analysis revealed a transition from independent to integrative coding along the posterior-anterior axis of the visual cortex, with the independent component (but not the integrative component) being almost perfectly predicted by object selectivity across the visual hierarchy. These results reveal a transitional stage between individual object and multi-object coding in visual cortex, providing a possible neural correlate of efficient processing of regularly positioned objects in natural scenes.


Author(s):  
Joseph Levine

There are two basic philosophical problems about colour. The first concerns the nature of colour itself. That is, what sort of property is it? When I say of the shirt that I am wearing that it is red, what sort of fact about the shirt am I describing? The second problem concerns the nature of colour experience. When I look at the red shirt I have a visual experience with a certain qualitative character – a ‘reddish’ one. Thus colour seems in some sense to be a property of my sensory experience, as well as a property of my shirt. What sort of mental property is it? Obviously, the two problems are intimately related. In particular, there is a great deal of controversy over the following question: if we call the first sort of property ‘objective colour’ and the second ‘subjective colour’, which of the two, objective or subjective colour, is basic? Or do they both have an independent ontological status? Most philosophers adhere to the doctrine of physicalism, the view that all objects and events are ultimately constituted by the fundamental physical particles, properties and relations described in physical theory. The phenomena of both objective and subjective colour present problems for physicalism. With respect to objective colour, it is difficult to find any natural physical candidate with which to identify it. Our visual system responds in a similar manner to surfaces that vary along a wide range of physical parameters, even with respect to the reflection of light waves. Yet what could be more obvious than the fact that objects are coloured? In the case of subjective colour, the principal topic of this entry, there is an even deeper puzzle. It is natural to think of the reddishness of a visual experience – its qualitative character – as an intrinsic and categorical property of the experience. Intrinsic properties are distinguished from relational properties in that an object’s possession of the former does not depend on its relation to, or even the existence of, other objects, whereas its possession of the latter does. Categorical properties are distinguished from dispositional ones. A dispositional property is one that an object has by virtue of its tendency to behave in certain ways, or cause certain effects, in particular circumstances. So being brittle is dispositional in that it involves being liable to break under slight pressure, whereas being six feet tall, say, is categorical. If subjective colour is intrinsic and categorical, then it would seem to be a neural property of a brain state. But what sort of neural property could explain the reddishness of an experience? Furthermore, reduction of subjective colour to a neural property would rule out even the possibility that forms of life with different physiological structures, or intelligent robots, could have experiences of the same qualitative type as our experiences of red. While some philosophers endorse this consequence, many find it quite implausible. Neural properties seem best suited to explain how certain functions are carried out, and therefore it might seem better to identify subjective colour with the property of playing a certain functional role within the entire cognitive system realized by the brain. This allows the possibility that structures physically different from human brains could support colour experiences of the same type as our own. However, various puzzles undermine the plausibility of this claim. For instance, it seems possible that two people could agree in all their judgements of relative similarity and yet one sees green where the other sees red. If this ‘inverted spectrum’ case is a genuine logical possibility, as many philosophers advocate, then it appears that subjective colour must not be a matter of functional role, but rather an intrinsic property of experience. Another possibility is that qualitative character is just a matter of features the visual system, in the case of colour, is representing objects in the visual field to have. Reddish experiences are just visual representations of red. But this view too has problems with spectrum-inversion scenarios, and also entails some counterintuitive consequences concerning our knowledge of our own qualitative states. Faced with the dilemmas posed by subjective colour for physicalist doctrine, some philosophers opt for eliminativism, the doctrine that subjective colour is not a genuine, or real, phenomenon after all. On this view the source of the puzzle is a conceptual confusion; a tendency to extend our judgements concerning objective colour, what appear to be intrinsic and categorical properties of the surfaces of physical objects, onto the properties of our mental states. Once we see that nothing qualitative is happening ‘inside’, we will understand why we cannot locate any state or property of the brain with which to identify subjective colour. The controversy over the nature of subjective colour is part of a wider debate about the subjective aspect of conscious experience more generally. How does the qualitative character of experience – what it is like to see, hear and smell – fit into a physicalist scientific framework? At present all of the options just presented have their adherents, and no general consensus exists.


2011 ◽  
Vol 21 (12) ◽  
pp. 2665-2680 ◽  
Author(s):  
N. Sun ◽  
N. Chi ◽  
N. Lauzon ◽  
S. Bishop ◽  
H. Tan ◽  
...  

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