scholarly journals The role of feature density in determining V1 BOLD fMRI sensitivity to spatial phase structure

2004 ◽  
Vol 4 (8) ◽  
pp. 544-544 ◽  
Author(s):  
C. A. Olman ◽  
K. Ugurbil ◽  
D. Kersten
2020 ◽  
pp. 130-135
Author(s):  
D.N. Korotaev ◽  
K.N. Poleshchenko ◽  
E.N. Eremin ◽  
E.E. Tarasov

The wear resistance and wear characteristics of cluster-gradient architecture (CGA) nanostructured topocomposites are studied. The specifics of tribocontact interaction under microcutting conditions is considered. The reasons for retention of high wear resistance of this class of nanostructured topocomposites are studied. The mechanisms of energy dissipation from the tribocontact zone, due to the nanogeometry and the structural-phase structure of CGA topocomposites are analyzed. The role of triboactivated deformation and diffusion processes in providing increased wear resistance of carbide-based topocomposites is shown. They are tested under the conditions of blade processing of heat-resistant titanium alloy.


2005 ◽  
Vol 29 (1) ◽  
pp. 89-112 ◽  
Author(s):  
Michael C. Ewing

This study investigates the role of constituency in structuring clauses during spoken interaction. It examines transitive clauses in a corpus of conversational Javanese. Do clauses unfold in a flat structure as each element is produced in real-time, or is there evidence of a hierarchical structure among constituents? By looking at adjacency in the production of clausal elements, with prosody as the key to understanding how speakers organize linguistic elements into larger groups, evidence is found for the emergence of a verb phase structure within clauses of lower discourse transitivity, but a lack of hierarchical structure in clauses of higher discourse transitivity.


Author(s):  
Suparman Suparman ◽  
Charmilasari Charmilasari

This study aims at describing the phase structure of classroom discourse in SMAN 1 Palopo. The research design employed is a qualitative study. The research location was SMAN 1 Palopo in which the population of the current study was classroom discourse in class X; while the sample were clauses that indicate the phase and interpersonal meaning of the teacher and the students who were selected using the purposive sampling technique. The source of data were the discourses in the biology, Physics and civic education classes. This study uses the theory of systemic functional linguistics to identify the clause phase structure consisting of phases and each sub-phase consists of 5 phases. Phase is used to transfer the science that aims to guide students to understand the material. Sub-phase comprises 33 phases which were divided into 4 static sub-phases and 29 dynamic sub-phases. System dominant mode shows the role of teachers in transferring science or knowledge expect information provided will be accepted by the students.


2019 ◽  
Vol 770 ◽  
pp. 466-472 ◽  
Author(s):  
Yong Yang ◽  
Qun Dai ◽  
Tao Chen ◽  
Yuhong Liu ◽  
Ting Zhang ◽  
...  

2017 ◽  
Author(s):  
HaDi MaBouDi ◽  
Krishna Subramani ◽  
Hamid Soltanian-Zadeh ◽  
Shun-ichi Amari ◽  
Hideaki Shimazaki

AbstractNatural scenes contain higher-order statistical structures that can be encoded in their spatial phase information. Nevertheless, little progress has been made in modeling phase information of images, and understanding efficient representation of the image phases in the brain. In order to capture spatial phase structure under the efficient coding hypothesis, here we introduce a generative model of natural scenes by assuming independent source signals in a complex domain and non-uniform phase priors for the complex signals. Parameters of the proposed model are then estimated under the maximum-likelihood principle. This approach extends existing methods of independent component analysis for complex-valued signals to the one that utilizes phase information. Using simulated data, we demonstrate that the proposed model outperforms conventional models with a uniform phase prior in blind source separation of complex-valued signals. We then apply the proposed model to natural scenes in the Fourier domain. Real and imaginary parts of the learned complex features exhibit a pair of Gabor-like filters in quadratic phase structure with a similar shape. The proposed model significantly improved the goodness-of-the-fit from the model with a uniform phase prior, indicating that the structured spatial phases are important for removing redundancy in natural scenes. These results predict the presence of phase sensitive complex cells in the visual cortex.


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