lunes, 7 de octubre de 2019

BMC Neuroscience | Computational and theoretical neuromodeling

BMC Neuroscience | Computational and theoretical neuromodeling



Computational and theoretical neuromodeling

Section edited by Si Wu
This section is focused on all aspects of computational and theoretical neuromodeling. Topics of interest include, but are not limited to, computational neuroscience, theoretical neuroscience and nonlinear dynamics, and neural networks.
  1. Content Type:Research Article

    Three-dimensional (3D) reconstruction of human peripheral nerves, as a useful tool to understand the nerve internal information and functional basis, has become an important area of research in the peripheral ...
    Authors:Peng Luo, Jianghui Dong, Jian Qi, Yi Zhang, Xiaolin Liu, Yingchun Zhong, Cory J. Xian and Liping Wang
    Citation:BMC Neuroscience 2019 20:32
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  3. Content Type:Research Article

    Alzheimer’s disease (AD) is a primary cause of dementia in ageing population affecting more than 35 million people around the globe. It is a chronic neurodegenerative disease caused by defected folding and agg...
    Authors:Sidra Khalid, Muhammad Ammar Zahid, Hussain Ali, Yeong S. Kim and Salman Khan
    Citation:BMC Neuroscience 2018 19:74
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  4. Content Type:Research Article

    Alzheimer’s disease (AD) is the most prevalent form of dementia and represents one of the highest unmet requirements in medicine today. There is shortage of novel molecules entering into market because of poor...
    Authors:Shivani Kumar, Suman Chowdhury and Suresh Kumar
    Citation:BMC Neuroscience 2017 18:76
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  5. Content Type:Research Article

    Learning algorithms come in three orders of complexity: zeroth-order (perturbation), first-order (gradient descent), and second-order (e.g., quasi-Newton). But which of these are used in the brain? We trained ...
    Authors:John Kim, Fariya Mostafa and Douglas Blair Tweed
    Citation:BMC Neuroscience 2017 18:50
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  6. Content Type:Methodology Article

    Various strategies have been used for inferring brain functions from stroke lesions. We explored a new mathematical approach based on game theory, the so-called multi-perturbation Shapley value analysis (MSA),...
    Authors:Melissa Zavaglia, Nils D. Forkert, Bastian Cheng, Christian Gerloff, Götz Thomalla and Claus C. Hilgetag
    Citation:BMC Neuroscience 2016 17:40
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  7. Content Type:Methodology Article

    Functional connectivity analyses of multiple neurons provide a powerful bottom-up approach to reveal functions of local neuronal circuits by using simultaneous recording of neuronal activity. A statistical met...
    Authors:Shigeyuki Oba, Ken Nakae, Yuji Ikegaya, Shunsuke Aki, Junichiro Yoshimoto and Shin Ishii
    Citation:BMC Neuroscience 2016 17:27
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  8. Content Type:Methodology Article

    Brain network connectivity modeling is a crucial method for studying the brain’s cognitive functions. Meta-analyses can unearth reliable results from individual studies. Meta-analytic connectivity modeling is ...
    Authors:Zhendong Niu, Yaoxin Nie, Qian Zhou, Linlin Zhu and Jieyao Wei
    Citation:BMC Neuroscience 2016 17:23
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  10. Content Type:Research Article

    In neuroscience, experimental designs in which multiple measurements are collected in the same research object or treatment facility are common. Such designs result in clustered or nested data. When clusters i...
    Authors:Emmeke Aarts, Conor V. Dolan, Matthijs Verhage and Sophie van der Sluis
    Citation:BMC Neuroscience 2015 16:94
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  11. Content Type:Research Article

    The topological structure of the wiring of the mammalian brain cortex plays an important role in shaping the functional dynamics of large-scale neural activity. Due to their central embedding in the network, h...
    Authors:Ruben Schmidt, Karl J. R. LaFleur, Marcel A. de Reus, Leonard H. van den Berg and Martijn P. van den Heuvel
    Citation:BMC Neuroscience 2015 16:54
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  12. Content Type:Research Article

    Symptoms of schizophrenia are related to deficits in self-monitoring function, which may be a consequence of irregularity in aspects of the default mode network (DMN). Schizophrenia can also be characterized b...
    Authors:June Sic Kim, Kyung Soon Shin, Wi Hoon Jung, Sung Nyun Kim, Jun Soo Kwon and Chun Kee Chung
    Citation:BMC Neuroscience 2014 15:104
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  13. Content Type:Research Article

    Pairwise association between neurons is a key feature in understanding neural coding. Statistical neuroscience provides tools to estimate and assess these associations. In the mammalian brain, activating ascen...
    Authors:Aldana M González Montoro, Ricardo Cao, Nelson Espinosa, Javier Cudeiro and Jorge Mariño
    Citation:BMC Neuroscience 2014 15:96
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  14. Content Type:Methodology Article

    Graph-based analysis of fMRI data has recently emerged as a promising approach to study brain networks. Based on the assessment of synchronous fMRI activity at separate brain sites, functional connectivity gra...
    Authors:Kristian Loewe, Marcus Grueschow, Christian M Stoppel, Rudolf Kruse and Christian Borgelt
    Citation:BMC Neuroscience 2014 15:78
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  15. Content Type:Research Article

    How it is possible to “faithfully” represent a three-dimensional stereoscopic scene using Cartesian coordinates on a plane, and how three-dimensional perceptions differ between an actual scene and an image of ...
    Authors:Zhao Songnian, Zou Qi, Liu Chang, Liu Xuemin, Sun Shousi and Qiu Jun
    Citation:BMC Neuroscience 2014 15:50
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  18. Content Type:Software

    In concurrent EEG/fMRI recordings, EEG data are impaired by the fMRI gradient artifacts which exceed the EEG signal by several orders of magnitude. While several algorithms exist to correct the EEG data, these...
    Authors:Johann Glaser, Roland Beisteiner, Herbert Bauer and Florian Ph S Fischmeister
    Citation:BMC Neuroscience 2013 14:138
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  19. Content Type:Methodology Article

    A major cue for the position of a high-frequency sound source in azimuth is the difference in sound pressure levels in the two ears, Interaural Level Differences (ILDs), as a sound is presented from different ...
    Authors:Balemir Uragun and Ramesh Rajan
    Citation:BMC Neuroscience 2013 14:114
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