Filters








193 Hits in 7.3 sec

Second order scattering descriptors predict fMRI activity due to visual textures [article]

Michael Eickenberg, Fabian Pedregosa , Senoussi Mehdi , Bertrand Thirion
2013 arXiv   pre-print
Second layer scattering descriptors are known to provide good classification performance on natural quasi-stationary processes such as visual textures due to their sensitivity to higher order moments and  ...  In a functional Magnetic Resonance Imaging (fMRI) experiment we present visual textures to subjects and evaluate the predictive power of these descriptors with respect to the predictive power of simple  ...  ACKNOWLEDGMENT The authors would like to thank... more thanks here  ... 
arXiv:1310.1257v1 fatcat:ev2vheabbbczfkigskedrw5gkm

Second Order Scattering Descriptors Predict fMRI Activity Due to Visual Textures

Michael Eickenberg, Mehdi Senoussi, Fabian Pedregosa, Alexandre Gramfort, Bertrand Thirion
2013 2013 International Workshop on Pattern Recognition in Neuroimaging  
Second layer scattering descriptors are known to provide good classification performance on natural quasistationary processes such as visual textures due to their sensitivity to higher order moments and  ...  In a functional Magnetic Resonance Imaging (fMRI) experiment we present visual textures to subjects and evaluate the predictive power of these descriptors with respect to the predictive power of simple  ...  ACKNOWLEDGMENT The authors would like to thank... more thanks here  ... 
doi:10.1109/prni.2013.11 dblp:conf/prni/EickenbergSPGT13 fatcat:lijbpzkjevf6naf2mqyunfvdgy

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas

Michael Eickenberg, Alexandre Gramfort, Bertrand Thirion
2012 2012 Second International Workshop on Pattern Recognition in NeuroImaging  
Here it is used in its simplest form to fit activation in visual areas related to the presentation of natural images.  ...  The scattering transform is a relatively new multi-layer and multi-scale signal transformation constructed to be invariant or tolerant to chosen transformations of the signal.  ...  Discussion In this paper we introduced the scattering transform as a candidate to model visual voxel activity.  ... 
doi:10.1109/prni.2012.33 dblp:conf/prni/EickenbergGT12 fatcat:22ukd2foqbcf7pg45er37fmwzq

Generic decoding of seen and imagined objects using hierarchical visual features [article]

Tomoyasu Horikawa, Yukiyasu Kamitani
2016 arXiv   pre-print
While recent studies have achieved fMRI decoding of seen and imagined contents, the prediction is limited to training examples.  ...  We show that visual features including those from a convolutional neural network can be predicted from fMRI patterns and that greater accuracy is achieved for low/high-level features with lower/higher-level  ...  (Fig. 3b) , showing that the higher-order visual features tended to be better predicted from fMRI signals in higher rather than lower ROIs, and that lower-order visual features tended to be better predicted  ... 
arXiv:1510.06479v3 fatcat:qrv4jxssszgbnef7xzv4utrvwa

Generic decoding of seen and imagined objects using hierarchical visual features

Tomoyasu Horikawa, Yukiyasu Kamitani
2017 Nature Communications  
We show that visual features, including those derived from a deep convolutional neural network, can be predicted from fMRI patterns, and that greater accuracy is achieved for low-/high-level features with  ...  While brain decoding of seen and imagined objects has been achieved, the prediction is limited to training examples.  ...  In the main analysis, we used t-tests to examine whether the mean of the correlation coefficients and the mean of the identification accuracies across subjects significantly exceeded the chance level (  ... 
doi:10.1038/ncomms15037 pmid:28530228 pmcid:PMC5458127 fatcat:ayvrlqxlp5ck7icjbdd4itudxy

Similarity-Based Retrieval for Biomedical Applications [chapter]

L. G. Shapiro, I. Atmosukarto, H. Cho, H. J. Lin, S. Ruiz-Correa, J. Yuen
2008 Studies in Computational Intelligence  
The top box shows the fMRI number, the MNI coordinates of the point with highest activation, and the closest two activated brain areas in the UW parcellaton scheme.  ...  Current projects include the development of quantitative descriptors of syndromic and non syndromic craniosynostotic head shape to a) investigate genotype-phenotype correlations, b) predict neurobehavioral  ... 
doi:10.1007/978-3-540-73180-1_12 fatcat:lkxhljfasbdktjeervsawxgzyu

Subjectivity in Aesthetic Quality Assessment of Digital Photographs

Won-Hee Kim, Jun-Ho Choi, Jong-Seok Lee
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  
Then, more importantly, we analyze the users' comments in order to identify sources contributing to subjectivity.  ...  [6] used generic image descriptors such as bag-of-visual words, Fisher vector, and GIST. Zhang et al.  ...  Scatter plot of the number of comments with respect to the standard deviation of ratings (S) In order to analyze subjectivity from the content of comments, we identify words conveying users' opinions and  ... 
doi:10.1145/2733373.2806380 dblp:conf/mm/KimCL15 fatcat:24ne7y74dnfxfefqefg3zifade

Compressive Temporal Summation in Human Visual Cortex

Jingyang Zhou, Noah C. Benson, Kendrick N. Kay, Jonathan Winawer
2017 Journal of Neuroscience  
We find that all visual areas exhibit subadditive summation, whereby responses to longer stimuli are less than the linear prediction from briefer stimuli.  ...  We investigated these phenomena in the human visual system using fMRI.  ...  position in the scatter plots.  ... 
doi:10.1523/jneurosci.1724-17.2017 pmid:29192127 pmcid:PMC5777115 fatcat:pwdtkqtf55fibk5m2kghtcu5z4

Compressive Temporal Summation in Human Visual Cortex [article]

Jingyang Zhou, Noah C Benson, Kendrick Kay, Jonathan Winawer
2017 bioRxiv   pre-print
We find that all visual areas exhibit subadditive summation, whereby responses to longer stimuli are less than the linear prediction from briefer stimuli.  ...  We also find fMRI evidence that the neural response to two stimuli is reduced for brief interstimulus intervals (indicating adaptation).  ...  position in the scatter plots.  ... 
doi:10.1101/157628 fatcat:n5e7cdefm5bxnhna2hmyxmuira

Exploration of complex visual feature spaces for object perception

Daniel D. Leeds, John A. Pyles, Michael J. Tarr
2014 Frontiers in Computational Neuroscience  
To assess the value of this method for understanding object encoding, we examined both the behavior of the method itself and the complex visual properties the method identified as reliably activating selected  ...  During fMRI scanning, we employed a real-time search method to control continuous stimulus selection within each image space.  ...  activity across visual space, as well as to observe search behavior.  ... 
doi:10.3389/fncom.2014.00106 pmid:25309408 pmcid:PMC4162468 fatcat:fwmiduovtbe2fjhzvj2tjsh6ku

The Euler Characteristic: A General Topological Descriptor for Complex Data [article]

Alexander Smith, Victor Zavala
2021 arXiv   pre-print
We show that the EC provides a descriptor that effectively reduces complex datasets and that this reduction facilitates tasks such as visualization, regression, classification, and clustering.  ...  The EC is a general, low-dimensional, and interpretable descriptor of topological spaces defined by data objects.  ...  In order to create the 2D fields, we utilize a Gaussian kernel smoothing [43] . Figure 20 shows the smoothing of a scatter plot.  ... 
arXiv:2103.03144v2 fatcat:3oh2o47u4nfojcropqzgforohq

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity

Jianjia Zhang, Luping Zhou, Lei Wang
2017 Pattern Recognition  
In many contexts of computer vision, the data are represented by or converted to covariance-based representations, including covariance descriptor and sparse inverse covariance estimation (SICE), due to  ...  Both covariance descriptor and SICE matrix belong to the set of symmetric positive-definite (SPD) ma-  ...  The texture images in each pair are visually similar to each other and it is challenging to classify them. In short, we obtain 15 pairs of classes.  ... 
doi:10.1016/j.patcog.2016.09.024 fatcat:mkwvr4jtxbgyjb2fxjcszp3d4i

Modeling & Analysis

2003 NeuroImage  
residual activity during rest due to involuntary cognitive processing.  ...  In order to identify the visual cortex we performed a standard SPM analysis of the mean ISI=3 session (60s high pass filter, haemodynamic response function (HRF) low-pass filter).  ...  This paradigm has been extensively used in electrophysiological recordings of single cell activity in various cortical areas of non-human primates in order to characterize the relation between grip force  ... 
doi:10.1016/s1053-8119(05)70006-9 fatcat:zff2suxcofbxvetfrwfwcxi3zm

Age differences in the brain mechanisms of good taste

Edmund T. Rolls, Michele B. Kellerhals, Thomas E. Nichols
2015 NeuroImage  
To examine the neural foundations underlying these age-related differences in the acceptability of different flavors and foods, we performed an fMRI study to investigate brain and hedonic responses to  ...  In the agranular insula (anterior to the insular primary taste cortex) where flavor is represented, the activations to the stimuli were similar in the Elderly, but in the Young the activations were larger  ...  T E Nichols designed and ran the statistical analyses of all the fMRI data, including preprocessing etc. All authors contributed to the final version of the paper.  ... 
doi:10.1016/j.neuroimage.2015.03.065 pmid:25842291 fatcat:xvfgkkdmtrabdpdc52e634j3iu

Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks

Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
To this end, we propose HLH-GAN, which includes a high-to-low (H-L) GAN together with a low-to-high (L-H) GAN in a cyclic pipeline for solving the medical image degradation problem.  ...  Existing methods for solving the problems are either tailored to recovering a high-resolution version of the low-resolution image or focus on filling missing values, thus inevitably giving rise to poor  ...  In order to generate highly accurate textures, the texture loss L T LH is used here to guide the generation of fine-scale details.  ... 
doi:10.24963/ijcai.2020/90 dblp:conf/ijcai/HuangZWJW020 fatcat:pa7fpm35vjbnxa7sdxoqvg4dwi
« Previous Showing results 1 — 15 out of 193 results