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Call Duration as an Indicator of Genetic Quality in Male Gray Tree Frogs

A. M. Welch
1998 Science  
In the experiment, a gap of 150 m between the electrodes was chosen to simplify the imaging, and a regulated dc power supply was used for experimental convenience.  ...  The "good genes" model of sexual selection predicts that some attributes of male courtship displays advertise genetic quality.  ...  Preferences for such attributes should allow females to mate with high-quality males and thereby benefit indirectly through enhanced quality of offspring (1) .  ... 
doi:10.1126/science.280.5371.1928 pmid:9632389 fatcat:3t7o6o4dzrdgtjatn7cxzptfw4

The Effect of Single-Sensor CFA Captures on Images Intended for Motion Picture and TV Applications

Richard B. Wheeler, Nestor M. Rodriguez
2007 SMPTE Motion Imaging Journal  
Once the effect of each individual attribute is known, a variable-exponent Minkowski metric is applied to predict the impact on overall quality of all of the attributes in combination.  ...  Refs. 1 to 3, which cover the following topics: establishing image quality standards; performing psychophysical experiments; designing objective metrics correlating to perceptual attributes; predicting  ... 
doi:10.5594/j16047 fatcat:wk44rsp5zfcznb2p4wu7jfnu4y

Quality Map Fusion for Adversarial Learning [article]

Uche Osahor, Nasser M. Nasrabadi
2021 arXiv   pre-print
We also show that incorporating a perceptual attention mechanism (PAM) that extracts global feature embeddings from the network bottleneck with aggregated perceptual maps derived from standard image quality  ...  In this paper, we improve image quality adversarially by introducing a novel quality map fusion technique that harnesses image features similar to the HVS and the perceptual properties of a deep convolutional  ...  Two main reasons for the success of FR-IQA can be attributed to the deep learning based perceptual properties of the reference image and the hand-crafted features derived from statistical metrics which  ... 
arXiv:2110.12338v1 fatcat:mza5g5ladzaujdwjihkhlfmlge

Evaluating Blind Image Quality Using RBF Neural Network

Abi Soliga, Godlin Jasil
2016 APTIKOM Journal on Computer Science and Information Technologies  
The BIQA method learns regression models from preparing images with human subjective scores to predict the perceptual nature of test images.  ...  By coordinating the components of normal picture measurements got from different signs, we take a multivariate Gaussian model of picture patches from an accumulation of unblemished regular pictures.  ...  The multivariate Gaussian (MVG) method learns the collection of pristine image and the image quality patches are predict from reference model. 25 Figure 1 . 251 The IL-NIQE method determines the parameter  ... 
doi:10.11591/aptikom.j.csit.99 fatcat:hy4s46tievfszmjpk7ivg26fdu

Evaluating Blind Image Quality Using RBF Neural Network

Abi Soliga, Godlin Jasil
2016 APTIKOM Journal on Computer Science and Information Technologies  
The BIQA method learns regression models from preparing images with human subjective scores to predict the perceptual nature of test images.  ...  By coordinating the components of normal picture measurements got from different signs, we take a multivariate Gaussian model of picture patches from an accumulation of unblemished regular pictures.  ...  The multivariate Gaussian (MVG) method learns the collection of pristine image and the image quality patches are predict from reference model. 25 Figure 1 . 251 The IL-NIQE method determines the parameter  ... 
doi:10.34306/csit.v1i1.40 fatcat:4ebeuvf7efbmdah72v3m7tjhuu

Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics [article]

Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, Chun-Shien Lu
2021 arXiv   pre-print
In this study, with the consideration of the perceptual similarity, we propose perceptual indistinguishability (PI) as a formal privacy notion particularly for images.  ...  Despite recent research devoted to removing sensitive information from images, they provide neither meaningful privacy-utility trade-off nor provable privacy guarantees.  ...  However, the specified attribute in Figure 4 (b) is inaccurately predicted to be "Smiling" due to attribute prediction for attribute label assignment.  ... 
arXiv:2104.01753v2 fatcat:vdbhpaj7sje2plfdftqi7rggsu

Perceptual and Neural Pliability of Odor Objects

Jay A. Gottfried, Keng Nei Wu
2009 Annals of the New York Academy of Sciences  
A key function of the sense of smell is to guide organisms towards rewards and away from dangers.  ...  The findings presented here highlight the important role of experience in shaping odor object perception and in ensuring the human sense of smell achieves its full perceptual potential.  ...  from the National Center for Research Resources (to Northwestern University Feinberg School of Medicine).  ... 
doi:10.1111/j.1749-6632.2009.03917.x pmid:19686155 pmcid:PMC2830742 fatcat:kjfeos3mynhvjcsoailv6nk6va

Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres [chapter]

Michael Casey, Jessica Thompson, Olivia Kang, Rajeev Raizada, Thalia Wheatley
2012 Lecture Notes in Computer Science  
We used functional magnetic resonance imaging (fMRI) in humans and multivariate pattern analysis (MVPA) to identify activation patterns that encode the perception of rich music audio stimuli from five  ...  We show that musical styles can be automatically classified from population codes in bilateral superior temporal sulcus (STS).  ...  Multivariate Multiple Regression It is natural to ask how accurately the image can be predicted by the auditory features of the stimulus.  ... 
doi:10.1007/978-3-642-34713-9_5 fatcat:if43rxtvbndxtlomvohrt5nfmm

Visual Cortex Allows Prediction of Perceptual States during Ambiguous Structure-From-Motion

G. J. Brouwer, R. van Ee
2007 Journal of Neuroscience  
resonance imaging (fMRI) and multivariate statistics (support vector machines).  ...  Our results indicate that prediction of perceptual states can be very accurate for data taken from dorsal visual areas V3A, V4D, V7, and MTϩ and for parietal areas responsive to SFM, but to a lesser extent  ...  Multivariate classifiers were then trained on imaging data taken from several regions of interest (ROIs), and the accuracy of prediction was determined.  ... 
doi:10.1523/jneurosci.4593-06.2007 pmid:17267555 fatcat:uagjhnly25emtfqaczai6bd5sm

Characterizing dynamic neural representations of scene attractiveness [article]

Daniel Kaiser
2022 bioRxiv   pre-print
Using multivariate pattern analysis, I demonstrate that scene attractiveness is mirrored in early brain signals that arise within 200ms of vision, suggesting that the aesthetic quality of scenes is first  ...  resolved during perceptual processing.  ...  aesthetic quality than those obtained from the bottom-rated database images.  ... 
doi:10.1101/2022.04.27.489648 fatcat:th2ltwzvjnefzmjbezpqpgj564

Temporal Characteristics of the Influence of Punishment on Perceptual Decision Making in the Human Brain

H. Blank, G. Biele, H. R. Heekeren, M. G. Philiastides
2013 Journal of Neuroscience  
Perceptual decision making is the process by which information from sensory systems is combined and used to influence our behavior.  ...  Crucially, the amplitude of these punishment components across participants was predictive of the size of the behavioral improvements induced by punishment.  ...  Therefore, incorrect answers were punished independently from image category.  ... 
doi:10.1523/jneurosci.4151-12.2013 pmid:23447604 pmcid:PMC6619293 fatcat:3dvtjomtrfb4zcb3v7kf42jsfu

Value generalization in human avoidance learning

Agnes Norbury, Trevor W Robbins, Ben Seymour
2018 eLife  
Further, generalization from aversive, but not neutral, feedback was associated with self-reported anxiety and intrusive thoughts.  ...  These results reveal a set of distinct mechanisms that mediate generalization in avoidance learning, and show how specific individual differences within them can yield anxiety.  ...  distinguishable from CS+s, is what might have been predicted from a purely perceptual account of task performance.  ... 
doi:10.7554/elife.34779 pmid:29735014 pmcid:PMC5957527 fatcat:27i4tarwkzdlzg42souhdwh4iq

The reality of "food porn": Larger brain responses to food‐related cues than to erotic images predict cue‐induced eating

Francesco Versace, David W. Frank, Elise M. Stevens, Menton M. Deweese, Michele Guindani, Susan M. Schembre
2018 Psychophysiology  
Using ERPs, a direct measure of brain activity, we showed that individuals with larger late positive potentials in response to food-related cues than to erotic images are more susceptible to cue-induced  ...  While some individuals can defy the lure of temptation, many others find appetizing food irresistible.  ...  Therefore, in line with what animal models indicate, the findings from our study support the hypothesis that individuals with the tendency to attribute high levels of incentive salience to cues predicting  ... 
doi:10.1111/psyp.13309 pmid:30556253 pmcid:PMC6446735 fatcat:d7uiiksnwnhajneyxulvxnv6oy

Consciousness and the Invention of Morel

Lampros Perogamvros
2013 Frontiers in Human Neuroscience  
Patterns of activity in the human posterior piriform cortex were found to predict accurately the perceptual ratings of odor quality (Howard et al., 2009) .  ...  , and offsets, and individual words, directly from brain activity.  ... 
doi:10.3389/fnhum.2013.00061 pmid:23467765 pmcid:PMC3587797 fatcat:6yfl7gyngjd2towgqh4k7au7lm

Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain

M. A. Saad, A. C. Bovik, C. Charrier
2012 IEEE Transactions on Image Processing  
Given the extracted features from a test image, the quality score that maximizes the probability of the empirically determined inference model is chosen as the predicted quality score of that image.  ...  The estimated parameters of the model are utilized to form features that are indicative of perceptual quality.  ...  Deviations from NSS models, caused by the introduction of distortions to images, can be used to predict the perceptual quality of the image.  ... 
doi:10.1109/tip.2012.2191563 pmid:22453635 fatcat:2vuzumcvqnf7jeym2absmmw3ma
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