Recent Developments in Spatio-Temporal EEG Source Reconstruction Techniques

Author(s):  
Chamandeep Kaur ◽  
Preeti Singh ◽  
Amandeep Bisht ◽  
Garima Joshi ◽  
Sunil Agrawal
2001 ◽  
Vol 73 (3) ◽  
pp. 561-566 ◽  
Author(s):  
Alain-M. Boudet ◽  
Matthieu Chabannes

In this article we highlight the contribution of molecular biology and lignin genetic engineering toward a better understanding of lignin biosynthesis and spatio-temporal deposition of lignin. Specific examples from the literature and from our laboratory will serve to underline the chemical flexibility of lignins, the complexity of the regulatory circuits involved in their synthesis, and the specific behavior of different cell types within the xylem. We will also focus on strategies aiming to reduce the lignin content or to modify the lignin composition of plants and present their impact on plant development. We will show that the ectopic expression of a specific transgene may have a different impact, depending on the genetic background, and that plants with a severe reduction in lignin content may undergo normal development. Lignification is currently benefiting enormously from recent developments in molecular biology and transgenesis, and the progress made opens the way for future developments to study how the walls of lignified plant cells are built and organized.


2000 ◽  
Vol 171 (6) ◽  
pp. 637-648 ◽  
Author(s):  
Dominique Weber ◽  
Agnes Herrmann

Abstract Recent developments in image processing and digital photogrammetry offer to the geomorphologists increasingly accessible and effective tools for the spatio-temporal knowledge of landslides. These techniques were used to reconstitute the historical evolution of a complex flow slide occurring in the "Terres Noires" of the Barcelonnette basin. The lithological and morphological environment of the studied site is characteristic of the whole southern French Prealps where are largely present Jurassic marly formations. Six digital elevation models (D.E.M.) generated from stereoscopic couples of aerial photography, but also various ortho-images and perspective views, allow to follow the morphological evolution of the unstable slope since the years 1950's -- before the releasing of the landslide -- until our days. Besides multitemporal descriptions of the landscape and of the morphological processes occurred on this site, the implemented method appears particularly useful for the quantitative analysis of the instabilities. It appears notably as a powerful tool for the 3-D reconstruction of the landslide geometry and by the same occasion for the calculation of its volume.


2008 ◽  
Vol 119 (9) ◽  
pp. e110
Author(s):  
N.J. Trujillo Barreto ◽  
E. Aubert Vázquez ◽  
W.D. Penny

2016 ◽  
Vol 35 (10) ◽  
pp. 2218-2228 ◽  
Author(s):  
Daniel Strohmeier ◽  
Yousra Bekhti ◽  
Jens Haueisen ◽  
Alexandre Gramfort

2005 ◽  
Vol 52 (10) ◽  
pp. 1681-1691 ◽  
Author(s):  
H. Liu ◽  
P.H. Schimpf ◽  
G. Dong ◽  
X. Gao ◽  
F. Yang ◽  
...  

2015 ◽  
Vol 370 (1668) ◽  
pp. 20140171 ◽  
Author(s):  
Richard Frackowiak ◽  
Henry Markram

Cerebral cartography can be understood in a limited, static, neuroanatomical sense. Temporal information from electrical recordings contributes information on regional interactions adding a functional dimension. Selective tagging and imaging of molecules adds biochemical contributions. Cartographic detail can also be correlated with normal or abnormal psychological or behavioural data. Modern cerebral cartography is assimilating all these elements. Cartographers continue to collect ever more precise data in the hope that general principles of organization will emerge. However, even detailed cartographic data cannot generate knowledge without a multi-scale framework making it possible to relate individual observations and discoveries. We propose that, in the next quarter century, advances in cartography will result in progressively more accurate drafts of a data-led, multi-scale model of human brain structure and function. These blueprints will result from analysis of large volumes of neuroscientific and clinical data, by a process of reconstruction, modelling and simulation. This strategy will capitalize on remarkable recent developments in informatics and computer science and on the existence of much existing, addressable data and prior, though fragmented, knowledge. The models will instantiate principles that govern how the brain is organized at different levels and how different spatio-temporal scales relate to each other in an organ-centred context.


Author(s):  
Michael Vassilakopoulos ◽  
Antonio Corral

Time and space are ubiquitous aspects of reality. Temporal and spatial information appear together in many everyday activities, and many information systems of modern life should be able to handle such information. For example, information systems for traffic control, fleet management, environmental management, military applications, local and public administration, and academic institutions need to manage information with spatial characteristics that change over time, or in other words, spatio-temporal information. The need for spatio-temporal applications has been strengthened by recent developments in mobile telephony technology, mobile computing, positioning technology, and the evolution of the World Wide Web.


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