Spatial Evolution

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Panagiotis D. Bamidis - One of the best experts on this subject based on the ideXlab platform.

  • A frequency synchronization study on the temporal and Spatial Evolution of emotional visual processing using wavelet entropy and IAPS picture collection
    IFMBE Proceedings, 2010
    Co-Authors: Christos A Frantzidis, Costas Pappas, Panagiotis D. Bamidis
    Abstract:

    Traditional analysis of emotional neuro- physiological data was mainly performed either by detecting temporal changes in the event-related potentials or by simple frequency analysis. Here, the notion of the time-evolving wave- let entropy is used for providing a measurement of the fre- quency synchronization during passive viewing of emotion evocative pictures selected from the International Affective Picture System (IAPS). The aim of this work is to study the temporal and Spatial Evolution of the dynamical frequency changes modulating the event-related potentials evoked by pleasant and unpleasant visual stimuli of varying arousal. The results obtained from the method’s application to short EEG data, indicate that both the emotional dimensions and gender modulate the frequency synchronization patterns. Therefore, their study over short temporal windows may enhance the knowledge extracted from the classical methods used.

Dinggang Shen - One of the best experts on this subject based on the ideXlab platform.

  • temporal and Spatial Evolution of brain network topology during the first two years of life
    PLOS ONE, 2011
    Co-Authors: John H Gilmore, Kelly S Giovanello, J K Smith, Dinggang Shen
    Abstract:

    The mature brain features high wiring efficiency for information transfer. However, the emerging process of such an efficient topology remains elusive. With resting state functional MRI and a large cohort of normal pediatric subjects (n=147) imaged during a critical time period of brain development, 3 wk- to 2 yr-old, the temporal and Spatial Evolution of brain network topology is revealed. The brain possesses the small world topology immediately after birth, followed by a remarkable improvement in whole brain wiring efficiency in 1 yr olds and becomes more stable in 2 yr olds. Regional developments of brain wiring efficiency and the Evolution of functional hubs suggest differential development trend for primary and higher order cognitive functions during the first two years of life. Simulations of random errors and targeted attacks reveal an age-dependent improvement of resilience. The lower resilience to targeted attack observed in 3 wk old group is likely due to the fact that there are fewer well-established long-distance functional connections at this age whose elimination might have more profound implications in the overall efficiency of information transfer. Overall, our results offer new insights into the temporal and Spatial Evolution of brain topology during early brain development.

Zhou Ta - One of the best experts on this subject based on the ideXlab platform.

  • Urban Spatial Evolution and Mechanism based on the Value Chain
    Technoeconomics & Management Research, 2020
    Co-Authors: Zhou Ta
    Abstract:

    In the context of global economic integration, traditional researches blur the boundaries of the industry and the city and they could not explain the changes in the internal functions of urban expansion and external radiation problems. City is the industry value chain projected on geoSpatial urban agglomerations essentially and it formed on the basis of the value chain city. Urban Spatial Evolution of intrinsic motivation comes from the urban space value chain reorganization, restructuring and transfer. Urban value chain in the performance space is represented as the city internal value chain, between cities of the value chain and global urban value system. Urban Spatial Evolution is driven by of the urban internal value chain and the value chain of inter-city. This article explores the urban Spatial Evolution mechanism and the multiplier effect of the problem from the perspective of the value chain and tries to provide reference for the urban development under the information condition.

  • Urban Spatial Evolution and industry's upgrading a case study in the Yangtze River Delta Area
    Urban Problems, 2020
    Co-Authors: Zhou Ta
    Abstract:

    The Evolution of urban space and urban industrial upgrading has become a hot issue in the countries of the region economic concerns. The intrinsic motivation of urban Spatial Evolution comes from the reconstruction, adjustment and transfer of industry value chain. The nature of cities and urban population is projected industry value chain in the geographical space. The urban Spatial Evolution of the process is the process of value- added industrial value chain. The constant improvement of the value of urban space will inevitably bring upgraded effects industry. The results from the SEM model of space panel of the Yangtze River Delta Area. Show that the effects in upgrading urban industrial chain by Shanghai asthe center are significantly and the Spatial Evolution of cities( group) suits with the law of the value chain. Based on the empirical study,this essay proposes to boost urban development by urban value chain and uses the value- added principle of the value chain to achieve a reasonable division of labor and industrial upgrading of the city so as to enhance the entire city's( group) competitiveness.

Zhao Li-ming - One of the best experts on this subject based on the ideXlab platform.

Christos A Frantzidis - One of the best experts on this subject based on the ideXlab platform.

  • A frequency synchronization study on the temporal and Spatial Evolution of emotional visual processing using wavelet entropy and IAPS picture collection
    IFMBE Proceedings, 2010
    Co-Authors: Christos A Frantzidis, Costas Pappas, Panagiotis D. Bamidis
    Abstract:

    Traditional analysis of emotional neuro- physiological data was mainly performed either by detecting temporal changes in the event-related potentials or by simple frequency analysis. Here, the notion of the time-evolving wave- let entropy is used for providing a measurement of the fre- quency synchronization during passive viewing of emotion evocative pictures selected from the International Affective Picture System (IAPS). The aim of this work is to study the temporal and Spatial Evolution of the dynamical frequency changes modulating the event-related potentials evoked by pleasant and unpleasant visual stimuli of varying arousal. The results obtained from the method’s application to short EEG data, indicate that both the emotional dimensions and gender modulate the frequency synchronization patterns. Therefore, their study over short temporal windows may enhance the knowledge extracted from the classical methods used.