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pro vyhledávání: '"Simon Benjaminsson"'
Publikováno v:
Frontiers in Systems Neuroscience, Vol 4 (2010)
Non-parametric data-driven analysis techniques can be used to study datasets with few assumptions about the data and underlying experiment. Variations of Independent Component Analysis (ICA) have been the methods mostly used on fMRI data, e.g. in fin
Externí odkaz:
https://doaj.org/article/5773cdfe48eb48f693118ab9f3fa1e07
Publikováno v:
Interactive Learning Environments. 29:510-522
Although we know that asking questions is an essential aspect of online tutoring, there is limited research on this topic. The aim of this paper was to identify commonly used direct question types ...
Autor:
Artin, Entezarjou, Anna-Karin Edstedt, Bonamy, Simon, Benjaminsson, Pawel, Herman, Patrik, Midlöv
Publikováno v:
JMIR Medical Informatics
Background Smartphones have made it possible for patients to digitally report symptoms before physical primary care visits. Using machine learning (ML), these data offer an opportunity to support decisions about the appropriate level of care (triage)
BACKGROUND Smartphones have made it possible for patients to digitally report symptoms before physical primary care visits. Using machine learning (ML), these data offer an opportunity to support decisions about the appropriate level of care (triage)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::984a50a72eda2961cb68e3d5c7fb3f16
https://doi.org/10.2196/preprints.18930
https://doi.org/10.2196/preprints.18930
Publikováno v:
IJCNN
Odor recognition constitutes a key functional aspect of olfaction and in real-world scenarios it requires that odorants occurring in complex chemical mixtures are identified irrespective of their concentrations. We investigate this challenging patter
Autor:
Anders Lansner, Andrea Varrone, Christer Halldin, Lars Farde, Martin Schain, Simon Benjaminsson, Katarina Varnäs, Anton Forsberg
Publikováno v:
Journal of Cerebral Blood Flow & Metabolism. 33:1058-1065
A metabolite corrected arterial input function is a prerequisite for quantification of positron emission tomography (PET) data by compartmental analysis. This quantitative approach is also necessary for radioligands without suitable reference regions
Autor:
Anders Lansner, Simon Benjaminsson
Publikováno v:
Network (Bristol, England). 23(4)
Large-scale neural simulations encompass challenges in simulator design, data handling and understanding of simulation output. As the computational power of supercomputers and the size of network models increase, these challenges become even more pro
Publikováno v:
Proceedings IMCS 2012.
A large scale chemical sensor array consisting of 16384 conducting polymer elements was developed emulating characteristics of the biological olfactory receptor system. A biologically realistic computational model of the olfactory cortex was develope
Publikováno v:
Frontiers in Neuroinformatics. 3
Publikováno v:
Biologically Inspired Signal Processing for Chemical Sensing ISBN: 9783642001758
Artificial neural networks (ANN) are useful components in today’s data analysis toolbox. They were initially inspired by the brain but are today accepted to be quite different from it. ANN typically lack scalability and mostly rely on supervised le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbed35e3af265e677553c2d17c330fc5