Computational Models in Electroencephalography
Copyright policy )Computational Models in Electroencephalography
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. Yet, what is meant by “computational model” is understood in many different ways by researchers in different fields of neuroscience and psychology, hindering communication and collaboration. In this review, we point out the state of the art of computational modeling in Electroencephalography (EEG) and outline how these models can be used to integrate findings from electrophysiology, network-level models, and behavior. On the one hand, computational models serve to investigate the mechanisms that generate brain activity, for example measured with EEG, such as the transient emergence of oscillations at different frequency bands and/or with different spatial topographies. On the other hand, computational models serve to design experiments and test hypotheses in silico. The final purpose of computational models of EEG is to obtain a comprehensive understanding of the mechanisms that underlie the EEG signal. This is crucial for an accurate interpretation of EEG measurements that may ultimately serve in the development of novel clinical applications.
- University of California, San Francisco United States
- University of Wisconsin–Oshkosh United States
- University of Wisconsin–Madison United States
- Sant'Anna School of Advanced Studies Italy
- University of Lausanne Switzerland
FOS: Computer and information sciences, Computational Engineering, Finance, and Science (cs.CE), Clinical Research (rcdc), Models, 1103 Clinical Sciences (for), Multiscale modeling, 32 Biomedical and Clinical Sciences (for-2020), Computer Science - Computational Engineering, Finance, and Science, Neurosciences (rcdc), Humans (mesh), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), Brain, Experimental Psychology, Computational modeling, Electroencephalography, 3209 Neurosciences (for-2020), 004, Networking and Information Technology R&D (NITRD), Neurological, Mental health, Cognitive Sciences, Neurons and Cognition (q-bio.NC), Electroencephalography (mesh), 1.1 Normal biological development and functioning, Clinical Sciences, Models, Neurological, 610, Bioengineering, Clinical applications, Brain (mesh), Experimental Psychology (science-metrix), Clinical Research, Humans, Computer Simulation, 1.1 Normal biological development and functioning (hrcs-rac), Original Paper, Biomedical and Clinical Sciences, Neurological (hrcs-hc), Neurosciences, 1109 Neurosciences (for), Mental health (hrcs-hc), Computer Simulation (mesh), 5202 Biological psychology (for-2020), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, 1702 Cognitive Sciences (for), Biological psychology, Neurological (mesh)
FOS: Computer and information sciences, Computational Engineering, Finance, and Science (cs.CE), Clinical Research (rcdc), Models, 1103 Clinical Sciences (for), Multiscale modeling, 32 Biomedical and Clinical Sciences (for-2020), Computer Science - Computational Engineering, Finance, and Science, Neurosciences (rcdc), Humans (mesh), Networking and Information Technology R&D (NITRD) (rcdc), Bioengineering (rcdc), Brain, Experimental Psychology, Computational modeling, Electroencephalography, 3209 Neurosciences (for-2020), 004, Networking and Information Technology R&D (NITRD), Neurological, Mental health, Cognitive Sciences, Neurons and Cognition (q-bio.NC), Electroencephalography (mesh), 1.1 Normal biological development and functioning, Clinical Sciences, Models, Neurological, 610, Bioengineering, Clinical applications, Brain (mesh), Experimental Psychology (science-metrix), Clinical Research, Humans, Computer Simulation, 1.1 Normal biological development and functioning (hrcs-rac), Original Paper, Biomedical and Clinical Sciences, Neurological (hrcs-hc), Neurosciences, 1109 Neurosciences (for), Mental health (hrcs-hc), Computer Simulation (mesh), 5202 Biological psychology (for-2020), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, 1702 Cognitive Sciences (for), Biological psychology, Neurological (mesh)
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