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Computational Models in Electroencephalography [PDF]
Brain Topography, 2021 AbstractComputational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in silico and predict the outcome of experiments and interactions that are very hard to test in reality.
Katharina Glomb +5 more
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Cardiac computational modelling
Revista Española de Cardiología (English Edition), 2021 Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's ...
Bragard, Jean R. +8 more
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Computational Modeling: Human Dynamic Model [PDF]
Frontiers in Neurorobotics, 2020 Improvements in quantitative measurements of human physical activity are proving extraordinarily useful for studying the underlying musculoskeletal system. Dynamic models of human movement support clinical efforts to analyze, rehabilitate injuries.
Lijia Liu +3 more
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Sculpting Computational‐Level Models [PDF]
Topics in Cognitive Science, 2017 AbstractIn this commentary, I advocate for strict relations between Marr's levels of analysis. Under a strict relationship, each level is exactly implemented by the subordinate level. This yields two benefits. First, it brings consistency for multilevel explanations.
Blokpoel, M., Blokpoel, M.
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Computational Neurology: Computational Modeling Approaches in Dementia [PDF]
, 2021 Dementia is a collection of symptoms associated with impaired cognition and impedes everyday normal functioning. Dementia, with Alzheimer's disease constituting its most common type, is highly complex in terms of etiology and pathophysiology. A more quantitative or computational attitude towards dementia research, or more generally in neurology, is ...
Wong-Lin, KongFatt +16 more
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Current Opinion in Neurobiology, 1994 Computation modelling is playing an increasingly accepted and important role in neuroscience. It is not a unitary enterprise, though, and the distinction between two different sorts of modelling, one interested in description and the other also in function, is illustrated by their application to activity-dependent developmental plasticity and adult ...
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Computational modelling of atherosclerosis [PDF]
Briefings in Bioinformatics, 2015 Atherosclerosis is one of the principle pathologies of cardiovascular disease with blood cholesterol a significant risk factor. The World Health Organisation estimates that approximately 2.5 million deaths occur annually due to the risk from elevated cholesterol with 39% of adults worldwide at future risk.
Parton, Andrew +4 more
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Computational modeling of acute myocardial infarction [PDF]
, 2016 This is an Accepted Manuscript of an article published by Taylor & Francis Group in Computer Methods in Biomechanics and Biomedical Engineering on October, 2016, available online at: http://www.tandfonline.com/10.1080/10255842.2015.1105965Myocardial ...
Kuhl, E., Sáez Viñas, Pablo
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The ATLAS computing model [PDF]
Journal of Physics: Conference Series, 2008 The ATLAS Offline Computing Model is described. The main emphasis is on the steady state, when normal running is established. The data flow from the output of the ATLAS trigger system through processing and analysis stages is analysed, in order to estimate the computing resources, in terms of CPU power, disk and tape storage and network bandwidth ...
BARBERIS, DARIO, JONES R.
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Computational neurorehabilitation: modeling plasticity and learning to predict recovery [PDF]
, 2016 Despite progress in using computational approaches to inform medicine and neuroscience in the last 30 years, there have been few attempts to model the mechanisms underlying sensorimotor rehabilitation.
Burdet, E +8 more
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