Search · four archives
Search · four archives
18 papers · ranked by Valyu relevance
Misun Kim, Kate J. Jeffery, Eleanor A. Maguire
The spatial world is three dimensional (3D) and humans and other animals move both horizontally and vertically within it. Extant neuroscientific studies have typically investigated spatial navigation on a horizontal 2D plane, leaving much unknown about how 3D spatial information is represented in the brain.…
Abdelhak Mahmoudi, Sylvain Takerkart, Fakhita Regragui, Driss Boussaoud + 1 more
'Driss Boussaoud' 'Andrea Brovelli'] Functional magnetic resonance imaging (fMRI) exploits blood-oxygen-level-dependent (BOLD) contrasts to map neural activity associated with a variety of brain functions including sensory processing, motor control, and cognitive and emotional functions. The general linear model (GLM)…
Ben M Crittenden, Daniel J Mitchell, John Duncan, David C Van Essen
In the human brain, a default mode or task-negative network shows reduced activity during many cognitive tasks and is often associated with internally-directed processes, such as mind wandering and thoughts about the self. In contrast to this task-negative pattern, we show increased activity during a large and…
Wei-Hsiang Lin, Justin L. Gardner, Shih-Wei Wu
Many decisions rely on how we evaluate potential outcomes associated with the options under consideration and estimate their corresponding probabilities of occurrence. Outcome valuation is subjective as it requires consulting internal preferences and is sensitive to context. In contrast, probability estimation requires…
Luca Vizioli, Federico De Martino, Lucy S. Petro, Daniel Kersten + 3 more
'Kamil Ugurbil' 'Essa Yacoub' 'Lars Muckli'] At ultra-high field, fMRI voxels can span the sub-millimeter range, allowing the recording of blood oxygenation level dependent (BOLD) responses at the level of fundamental units of neural computation, such as cortical columns and layers. This sub-millimeter resolution…
Luca Vizioli, Federico De Martino, Lucy S Petro, Daniel Kersten + 3 more
At ultra-high field, fMRI voxels can span the sub-millimeter range, allowing the recording of blood oxygenation level dependent (BOLD) responses at the level of fundamental units of neural computation, such as cortical columns and layers. This sub-millimeter resolution, however, is only nominal in nature as a number of…
Mansooreh Pakravan, Ali Ghazizadeh
Simultaneous recording of activity across brain regions can contain additional information compared to regional recordings done in isolation. In particular, multivariate pattern analysis (MVPA) across voxels has been interpreted as evidence for distributed coding of cognitive or sensorimotor processes beyond what can…
Muhammad Yousefnezhad, Daoqiang Zhang
A universal unanswered question in neuroscience and machine learning is whether computers can decode the patterns of the human brain. Multi-Voxels Pattern Analysis (MVPA) is a critical tool for addressing this question. However, there are two challenges in the previous MVPA methods, which include decreasing sparsity…
Ro’ee Gilron, Jonathan Rosenblatt, Oluwasanmi Koyejo, Russell A. Poldrack + 1 more
'Russell A. Poldrack' 'Roy Mukamel'] Multivoxel pattern analysis (MVPA) has gained enormous popularity in the neuroimaging community over the past few years. At the group level, most MVPA studies adopt an "information based" approach in which the sign of the effect of individual subjects is discarded and a…
Shivakumar Viswanathan, Matthew Cieslak, Scott T. Grafton
Information mapping is a popular application of Multivoxel Pattern Analysis (MVPA) to fMRI. Information maps are constructed using the so called searchlight method, where the spherical multivoxel neighborhood of every voxel (i.e., a searchlight) in the brain is evaluated for the presence of task-relevant response…
Pierre Bost, Ruben Casanova, Uria Mor, Bernd Bodenmiller
The rapid development of multiplexed imaging technologies has enabled the spatial cartography of various healthy and tumor tissues. However, the lack of adequate statistical models has hampered the use of multiplexed imaging to efficiently compare tissue composition across sample groups, for instance between healthy…
Zhengyuan Zhang, Ping Chen, Yajun Liu, Yi He + 1 more
Multi-visual pattern mining plays an important role in image classification, retrieval, and other fields. A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability…
Martin Emons, Samuel Gunz, Helena L. Crowell, Izaskun Mallona + 2 more
'Reinhard Furrer' 'Mark D. Robinson'] Spatial omics assays allow for the molecular characterisation of cells in their spatial context. Notably, the two main technological streams, imaging-based and high-throughput sequencingbased, can give rise to very different data modalities. The characteristics of the two data…
Authors not listed
X-ray diffraction (XRD) is an immediate and powerful characterization technique that provides detailed information on the lattice structure and long-range order in crystalline materials. In recent decades, the quality and quantity of available crystal structure data has exploded, in large part due to the advent of…
Matti Pietikäinen, Guoying Zhao
Texture is an important characteristic for many types of images. In recent years very discriminative and computationally efficient local texture descriptors based on local binary patterns (LBP) have been developed, which has led to significant progress in applying texture methods to different problems and applications.…
Aleksandra Pižurica
This paper presents a convenient graphical tool for encoding visual patterns (such as image patches and image atoms) as point constellations in a space spanned by perceptual features and with a clear geometrical interpretation. General theory and a practical pattern encoding scheme are presented, inspired by encoding…
L. Koteswara Rao, D. Venkata Rao, L. Pratap Reddy
In this paper, we propose a new feature descriptor, named local mesh quantized extrema patterns (LMeQEP) for image indexing and retrieval. The standard local quantized patterns collect the spatial relationship in the form of larger or deeper texture pattern based on the relative variations in the gray values of center…
Siqiang Chen, Masahiro Toyoura, Takamasa Terada, Xiaoyang Mao + 1 more
'Gang Xu'] Abstract. A textile fabric consists of countless parallel vertical yarns (warps) and horizontal yarns (wefts). While common looms can weave repetitive patterns, Jacquard looms can weave the patterns without repetition restrictions. A pattern in which the warps and wefts cross on a grid is defined in a binary…