scholarly journals Neural Basis of Object Recognition

10.5772/35310 ◽  
2012 ◽  
Author(s):  
R. Marra ◽  
D. Rotiroti ◽  
V. Rispoli
Keyword(s):  
Object Recognition ◽  
Neural Basis

A Neural Basis for Expert Object Recognition

2001 ◽  
Vol 12 (1) ◽  
pp. 43-47 ◽  
Author(s):  
James W. Tanaka ◽  
Tim Curran
Keyword(s):  
Object Recognition ◽  
Neural Basis

Neural Basis of Semantically Dependent and Independent Cross-Modal Boosts on the Attentional Blink

2020 ◽  
Author(s):  
Song Zhao ◽  
Chengzhi Feng ◽  
Xinyin Huang ◽  
Yijun Wang ◽  
Wenfeng Feng
Keyword(s):  
Object Recognition ◽  
Attentional Blink ◽  
Temporal Dynamics ◽  
Recognition Task ◽  
Event Related Potentials ◽  
Visual Object ◽  
Visual Object Recognition ◽  
Neural Basis ◽  
Related Potentials ◽  
The Cross

Abstract The present study recorded event-related potentials (ERPs) in a visual object-recognition task under the attentional blink paradigm to explore the temporal dynamics of the cross-modal boost on attentional blink and whether this auditory benefit would be modulated by semantic congruency between T2 and the simultaneous sound. Behaviorally, the present study showed that not only a semantically congruent but also a semantically incongruent sound improved T2 discrimination during the attentional blink interval, whereas the enhancement was larger for the congruent sound. The ERP results revealed that the behavioral improvements induced by both the semantically congruent and incongruent sounds were closely associated with an early cross-modal interaction on the occipital N195 (192–228 ms). In contrast, the lower T2 accuracy for the incongruent than congruent condition was accompanied by a larger late occurring cento-parietal N440 (424–448 ms). These findings suggest that the cross-modal boost on attentional blink is hierarchical: the task-irrelevant but simultaneous sound, irrespective of its semantic relevance, firstly enables T2 to escape the attentional blink via cross-modally strengthening the early stage of visual object-recognition processing, whereas the semantic conflict of the sound begins to interfere with visual awareness only at a later stage when the representation of visual object is extracted.

scholarly journals Cortical mechanisms of sensory learning and object recognition

2008 ◽  
Vol 364 (1515) ◽  
pp. 321-329 ◽  
Author(s):  
K.L Hoffman ◽  
N.K Logothetis
Keyword(s):  
Object Recognition ◽  
Neural Plasticity ◽  
Neural Basis ◽  
Diagnostic Features ◽  
Sensory Learning ◽  
Neural Populations ◽  
The World ◽  
Object Features ◽  
Induced Changes

Learning about the world through our senses constrains our ability to recognise our surroundings. Experience shapes perception. What is the neural basis for object recognition and how are learning-induced changes in recognition manifested in neural populations? We consider first the location of neurons that appear to be critical for object recognition, before describing what is known about their function. Two complementary processes of object recognition are considered: discrimination among diagnostic object features and generalization across non-diagnostic features. Neural plasticity appears to underlie the development of discrimination and generalization for a given set of features, though tracking these changes directly over the course of learning has remained an elusive task.

scholarly journals The neural basis of nonvisual object recognition memory in the rat.

2013 ◽  
Vol 127 (1) ◽  
pp. 70-85 ◽  
Author(s):  
Mathieu M. Albasser ◽  
Cristian M. Olarte-Sánchez ◽  
Eman Amin ◽  
Murray R. Horne ◽  
Michael J. Newton ◽  
...  
Keyword(s):  
Object Recognition ◽  
Recognition Memory ◽  
Neural Basis ◽  
Object Recognition Memory

The neural basis of viewpoint compensation in human object recognition: An fMRI study

NeuroImage ◽  
2000 ◽  
Vol 11 (5) ◽  
pp. S85
Author(s):  
Takeshi Sugio ◽  
Toshiharu Nakai ◽  
Yukio Miki ◽  
Kaori Togashi ◽  
Junji Konishi
Keyword(s):  
Object Recognition ◽  
Neural Basis ◽  
Fmri Study ◽  
Human Object

Use It and Still Lose It?

GeroPsych ◽  
2010 ◽  
Vol 23 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Adrian Schwaninger ◽  
Diana Hardmeier ◽  
Judith Riegelnig ◽  
Mike Martin
Keyword(s):  
Object Recognition ◽  
Cognitive Development ◽  
Recognition Test ◽  
Cognitive Aging ◽  
Recognition Task ◽  
Airport Security ◽  
Visual Object ◽  
Long Term Effects ◽  
Object Recognition Test ◽  
X Ray

In recent years, research on cognitive aging increasingly has focused on the cognitive development across middle adulthood. However, little is still known about the long-term effects of intensive job-specific training of fluid intellectual abilities. In this study we examined the effects of age- and job-specific practice of cognitive abilities on detection performance in airport security x-ray screening. In Experiment 1 (N = 308; 24–65 years), we examined performance in the X-ray Object Recognition Test (ORT), a speeded visual object recognition task in which participants have to find dangerous items in x-ray images of passenger bags; and in Experiment 2 (N = 155; 20–61 years) in an on-the-job object recognition test frequently used in baggage screening. Results from both experiments show high performance in older adults and significant negative age correlations that cannot be overcome by more years of job-specific experience. We discuss the implications of our findings for theories of lifespan cognitive development and training concepts.

Emotional Reactivity to Visual Content as Revealed by ERP Component Clustering

2015 ◽  
Vol 29 (4) ◽  
pp. 135-146 ◽  
Author(s):  
Miroslaw Wyczesany ◽  
Szczepan J. Grzybowski ◽  
Jan Kaiser
Keyword(s):  
Emotional Reactivity ◽  
Brain Activity ◽  
Affective State ◽  
Occipital Lobe ◽  
Stimulus Onset ◽  
Emotional States ◽  
Neural Basis ◽  
Temporoparietal Junction ◽  
The Right ◽  
The Impact

Abstract. In the study, the neural basis of emotional reactivity was investigated. Reactivity was operationalized as the impact of emotional pictures on the self-reported ongoing affective state. It was used to divide the subjects into high- and low-responders groups. Independent sources of brain activity were identified, localized with the DIPFIT method, and clustered across subjects to analyse the visual evoked potentials to affective pictures. Four of the identified clusters revealed effects of reactivity. The earliest two started about 120 ms from the stimulus onset and were located in the occipital lobe and the right temporoparietal junction. Another two with a latency of 200 ms were found in the orbitofrontal and the right dorsolateral cortices. Additionally, differences in pre-stimulus alpha level over the visual cortex were observed between the groups. The attentional modulation of perceptual processes is proposed as an early source of emotional reactivity, which forms an automatic mechanism of affective control. The role of top-down processes in affective appraisal and, finally, the experience of ongoing emotional states is also discussed.

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