scholarly journals Auditory-Induced Emotion Mediates Perceptual Categorization of Everyday Sounds

2016 ◽  
Vol 7 ◽  
Author(s):  
Penny Bergman ◽  
Daniel Västfjäll ◽  
Ana Tajadura-Jiménez ◽  
Erkin Asutay
Keyword(s):  
Perceptual Categorization

Striatal contributions to category learning: Quantitative modeling of simple linear and complex nonlinear rule learning in patients with Parkinson's disease

2001 ◽  
Vol 7 (6) ◽  
pp. 710-727 ◽  
Author(s):  
W. TODD MADDOX ◽  
J. VINCENT FILOTEO
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Frontal Lobe ◽  
Category Learning ◽  
Rule Learning ◽  
Quantitative Model ◽  
Perceptual Categorization ◽  
Model Based ◽  
Rule Application ◽  
Frontal Lobe Functioning

The contribution of the striatum to category learning was examined by having patients with Parkinson's disease (PD) and matched controls solve categorization problems in which the optimal rule was linear or nonlinear using the perceptual categorization task. Traditional accuracy-based analyses, as well as quantitative model-based analyses were performed. Unlike accuracy-based analyses, the model-based analyses allow one to quantify and separate the effects of categorization rule learning from variability in the trial-by-trial application of the participant's rule. When the categorization rule was linear, PD patients showed no accuracy, categorization rule learning, or rule application variability deficits. Categorization accuracy for the PD patients was associated with their performance on a test believed to be sensitive to frontal lobe functioning. In contrast, when the categorization rule was nonlinear, the PD patients showed accuracy, categorization rule learning, and rule application variability deficits. Furthermore, categorization accuracy was not associated with performance on the test of frontal lobe functioning. Implications for neuropsychological theories of categorization learning are discussed. (JINS, 2001, 7, 710–727.)

Automatic perceptual categorization of disordered connected speech

2010 ◽  
Author(s):  
Ali Alpan ◽  
Jean Schoentgen ◽  
Youri Maryn ◽  
Francis Grenez
Keyword(s):  
Perceptual Categorization ◽  
Connected Speech

Integrating cues in speech perception

1998 ◽  
Vol 21 (2) ◽  
pp. 275-275 ◽  
Author(s):  
Dominic W. Massaro
Keyword(s):  
Speech Perception ◽  
Speech Signal ◽  
Perceptual Categorization ◽  
Important Goal ◽  
Multiple Cues ◽  
Ecological Property ◽  
Second Formant ◽  
Speech Research

Sussman et al. describe an ecological property of the speech signal that is putatively functional in perception. An important issue, however, is whether their putative cue is an emerging feature or whether the second formant (F2) onset and the F2 vowel actually provide independent cues to perceptual categorization. Regardless of the outcome of this issue, an important goal of speech research is to understand how multiple cues are evaluated and integrated to achieve categorization.

scholarly journals Multiple attention systems in perceptual categorization

2002 ◽  
Vol 30 (3) ◽  
pp. 325-339 ◽  
Author(s):  
W. Todd Maddox ◽  
F. Gregory Ashby ◽  
Elliott M. Waldron
Keyword(s):  
Perceptual Categorization ◽  
Attention Systems

Perceptual categorization of sound spectral envelopes reflected in auditory-evoked N1m

Neuroreport ◽  
2005 ◽  
Vol 16 (6) ◽  
pp. 555-558 ◽  
Author(s):  
Tomomi Mizuochi ◽  
Masato Yumoto ◽  
Shotaro Karino ◽  
Kenji Itoh ◽  
Keiko Yamakawa ◽  
...  
Keyword(s):  
Perceptual Categorization

Fuzzy Model for Human Color Perception and Its Application in E-Commerce

2016 ◽  
Vol 24 (Suppl. 2) ◽  
pp. 47-70 ◽  
Author(s):  
Pakizar Shamoi ◽  
Atsushi Inoue ◽  
Hiroharu Kawanaka
Keyword(s):  
Image Retrieval ◽  
Color Perception ◽  
Fuzzy Model ◽  
Visual Features ◽  
Perceptual Categorization ◽  
Purchasing Behavior ◽  
User Query ◽  
Hsi Space ◽  
Underlying Mechanisms ◽  
High Level

Although image retrieval for e-commerce field has a huge commercial potential, e-commerce oriented content-based image retrieval is still very raw. Modern online shopping systems have certain limitations. In particular, they use conventional tag-based retrieval and lack making use of visual content. The paper presents a methodology to retrieve images of shopping items based on fuzzy dominant colors. People regard color as an aesthetic issue, especially when it comes to choosing the colors of their clothing, apartment design and other objects around. No doubt, color inuences purchasing behavior — to a certain extent, it is a reection of human's likes and dislikes. The fuzzy color model that we are proposing represents the collection of fuzzy sets, providing the conceptual quantization of crisp HSI space having soft boundaries. The proposed method has two parts: assigning a fuzzy colorimetric profile to the image and processing the user query. We also use underlying mechanisms of attention from a theory of visual attention, like perceptual categorization. Subjectivity and sensitivity of humans in color perception and bridging the semantic gap between low-level color visual features and high-level concepts are major issues that we plan to tackle in this research.

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