Neural Masses and Fields: Modelling the Dynamics of Brain Activity
Biophysical modelling of brain activity has a long and illustrious history and has recently profited from technological advances that furnish neuroimaging data at an unprecedented spatiotemporal resolution. Neuronal modelling is a very active area of research, with applications ranging from the char...
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| Formaat: | Online |
| Taal: | Engels |
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Frontiers Media SA
2021
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| _version_ | 1869528874563403776 |
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| author | Dimitris Pinotsis Peter Robinson Karl Friston Peter beim Graben |
| author_browse | Dimitris Pinotsis Karl Friston Peter Robinson Peter beim Graben |
| author_facet | Dimitris Pinotsis Peter Robinson Karl Friston Peter beim Graben |
| author_sort | Dimitris Pinotsis |
| collection | Directory of Open Access Books |
| description | Biophysical modelling of brain activity has a long and illustrious history and has recently profited from technological advances that furnish neuroimaging data at an unprecedented spatiotemporal resolution. Neuronal modelling is a very active area of research, with applications ranging from the characterization of neurobiological and cognitive processes, to constructing artificial brains in silico and building brain-machine interface and neuroprosthetic devices. Biophysical modelling has always benefited from interdisciplinary interactions between different and seemingly distant fields; ranging from mathematics and engineering to linguistics and psychology. This Research Topic aims to promote such interactions by promoting papers that contribute to a deeper understanding of neural activity as measured by fMRI or electrophysiology. In general, mean field models of neural activity can be divided into two classes: neural mass and neural field models. The main difference between these classes is that field models prescribe how a quantity characterizing neural activity (such as average depolarization of a neural population) evolves over both space and time as opposed to mass models, which characterize activity over time only; by assuming that all neurons in a population are located at (approximately) the same point. This Research Topic focuses on both classes of models and considers several aspects and their relative merits that: span from synapses to the whole brain; comparisons of their predictions with EEG and MEG spectra of spontaneous brain activity; evoked responses, seizures, and fitting data - to infer brain states and map physiological parameters. |
| format | Online |
| id | doab-20.500.12854ir-54476 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-544762024-04-05T17:30:04Z Neural Masses and Fields: Modelling the Dynamics of Brain Activity Dimitris Pinotsis Peter Robinson Karl Friston Peter beim Graben RC321-571 Q1-390 neural disorders self-organization Electroencephalogram neural networks Electrophysiology Integro-differential equations neural field theory neural masses oscillations anaesthesia thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Biophysical modelling of brain activity has a long and illustrious history and has recently profited from technological advances that furnish neuroimaging data at an unprecedented spatiotemporal resolution. Neuronal modelling is a very active area of research, with applications ranging from the characterization of neurobiological and cognitive processes, to constructing artificial brains in silico and building brain-machine interface and neuroprosthetic devices. Biophysical modelling has always benefited from interdisciplinary interactions between different and seemingly distant fields; ranging from mathematics and engineering to linguistics and psychology. This Research Topic aims to promote such interactions by promoting papers that contribute to a deeper understanding of neural activity as measured by fMRI or electrophysiology. In general, mean field models of neural activity can be divided into two classes: neural mass and neural field models. The main difference between these classes is that field models prescribe how a quantity characterizing neural activity (such as average depolarization of a neural population) evolves over both space and time as opposed to mass models, which characterize activity over time only; by assuming that all neurons in a population are located at (approximately) the same point. This Research Topic focuses on both classes of models and considers several aspects and their relative merits that: span from synapses to the whole brain; comparisons of their predictions with EEG and MEG spectra of spontaneous brain activity; evoked responses, seizures, and fitting data - to infer brain states and map physiological parameters. 2021-02-11T20:48:05Z 2021-02-11T20:48:05Z 2016-01-19 14:05:46 2015 book 18182 16648714 9782889194278 https://directory.doabooks.org/handle/20.500.12854/54476 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Neural_Masses_and_Fields_Modelling_the_Dynamics_of_Brain_Activity/552 http://journal.frontiersin.org/researchtopic/873/neural-masses-and-fields-modelling-dynamics-of-brain-activity Frontiers Media SA 10.3389/978-2-88919-427-8 10.3389/978-2-88919-427-8 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889194278 237 open access |
| spellingShingle | RC321-571 Q1-390 neural disorders self-organization Electroencephalogram neural networks Electrophysiology Integro-differential equations neural field theory neural masses oscillations anaesthesia thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Dimitris Pinotsis Peter Robinson Karl Friston Peter beim Graben Neural Masses and Fields: Modelling the Dynamics of Brain Activity |
| title | Neural Masses and Fields: Modelling the Dynamics of Brain Activity |
| title_full | Neural Masses and Fields: Modelling the Dynamics of Brain Activity |
| title_fullStr | Neural Masses and Fields: Modelling the Dynamics of Brain Activity |
| title_full_unstemmed | Neural Masses and Fields: Modelling the Dynamics of Brain Activity |
| title_short | Neural Masses and Fields: Modelling the Dynamics of Brain Activity |
| title_sort | neural masses and fields modelling the dynamics of brain activity |
| topic | RC321-571 Q1-390 neural disorders self-organization Electroencephalogram neural networks Electrophysiology Integro-differential equations neural field theory neural masses oscillations anaesthesia thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 neural disorders self-organization Electroencephalogram neural networks Electrophysiology Integro-differential equations neural field theory neural masses oscillations anaesthesia thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 18182 |
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