Search · four archives
Search · four archives
16 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…
Giuseppe Di Cesare, Giancarlo Valente, Cinzia Di Dio, Emanuele Ruffaldi + 3 more
'Emanuele Ruffaldi' 'Massimo Bergamasco' 'Rainer Goebel' 'Giacomo Rizzolatti'] Observing the style of an action done by others allows the observer to understand the cognitive state of the agent. This information has been defined by Stern “vitality forms”. Previous experiments showed that the dorso-central insula is…
Lijun Wang, Yu Lei, Ying Zeng, Li Tong + 1 more
Brain decoding with functional magnetic resonance imaging (fMRI) requires analysis of complex, multivariate data. Multivoxel pattern analysis (MVPA) has been widely used in recent years. MVPA treats the activation of multiple voxels from fMRI data as a pattern and decodes brain states using pattern classification…
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…
Michael A. Casey
Underlying the experience of listening to music are parallel streams of auditory, categorical, and schematic qualia, whose representations and cortical organization remain largely unresolved. We collected high-field (7T) fMRI data in a music listening task, and analyzed the data using multivariate decoding and…
Ediz Sohoglu, Sukhbinder Kumar, Maria Chait, Timothy D. Griffiths
Using fMRI and multivariate pattern analysis, we determined whether spectral and temporal acoustic features are represented by independent or integrated multivoxel codes in human cortex. Listeners heard band-pass noise varying in frequency (spectral) and amplitude-modulation (AM) rate (temporal) features. In the…
Helen Blank, Matthew H. Davis, Robert Zatorre
Successful perception depends on combining sensory input with prior knowledge. However, the underlying mechanism by which these two sources of information are combined is unknown. In speech perception, as in other domains, two functionally distinct coding schemes have been proposed for how expectations influence…
Mélina Baheux Blin, Vincent Loreau, Frank Schnorrer, Pierre Mangeol
Regular spatial patterns are ubiquitous forms of organization in nature. In animals, regular patterns can be found from the cellular scale to the tissue scale, and from early stages of development to adulthood. To understand the formation of these patterns, how they assemble and mature, and how they are affected by…
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…
Cheng Lu, Hongming Xu, Jun Xu, Hannah Gilmore + 2 more
'Anant Madabhushi'] Nuclei detection is often a critical initial step in the development of computer aided diagnosis and prognosis schemes in the context of digital pathology images. While over the last few years, a number of nuclei detection methods have been proposed, most of these approaches make idealistic…
S. Dhanya, V. S. Kumari Roshni
Textures play an important role in image classification. This paper proposes a high performance texture classification method using a combination of multiresolution analysis tool and linear regression modelling by channel elimination. The correlation between different frequency regions has been validated as a sort of…
Faqir Gul, Mohsin Shah, Mushtaq Ali, Lal Hussain + 5 more
'Adeel Ahmed Abbasi' 'Mohammad Shahbaz Khan' 'Badr S. Alkahtani' 'Toqeer Mahmood'] Multi-panel images play an essential role in medical diagnostics and represent approximately 50% of the medical literature. These images serve as important tools for physicians to align various medical data (e.g., X-rays, MRIs, CT scans)…
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…
Aurel Baloi, Carmen Costea, Robert Gutt, Ovidiu Balacescu + 4 more
'Flaviu Turcu' 'Bogdan Belean' 'Stefano Berretti' 'Kuo-Liang Chung'] Hexagonal grid layouts are advantageous in microarray technology; however, hexagonal grids appear in many fields, especially given the rise of new nanostructures and metamaterials, leading to the need for image analysis on such structures. This work…