Brain stem modeling at a system level - chances and limitations

• Autorzy: Mikolajewski D. , Duch W.

Identyfikatory

DOI

10.1515/bams-2018-0015

• Języki publikacji: EN

Abstrakty

EN

The topic of brain stem computational simulation still seems understudied in contemporary scientific literature. Current advances in neuroscience leave the brain stem as one of the least known parts of the human central nervous system. Brain stem lesions are particularly damaging to the most important physiological functions. Advances in brain stem modeling may influence important issues within the core of neurology, neurophysiology, neurosurgery, and neurorehabilitation. Direct results may include both development of knowledge and optimization and objectivization of clinical practice in the aforementioned medical areas. Despite these needs, progress in the area of computational brain stem models seems to be too slow. The aims of this paper are both to recognize the strongest limitations in the area of computational brain stem simulations and to assess the extent to which current opportunities may be exploited. Despite limitations, the emerging view of the brain stem provided by its computational models enables a wide repertoire of functions, including core dynamic behavior.

Słowa kluczowe

EN

brain stem; central nervous system; computational model; computational neuroscience; neural network

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2018
• Tom: Vol. 14, no. 2
• Strony: art. no. 20180015
• Opis fizyczny: Bibliogr. 36 poz., rys.

Twórcy

autor

Mikolajewski D.

• Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland
• Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University – Neurocognitive Laboratory, Torun, Poland

autor

Duch W.

• Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University – Neurocognitive Laboratory, Torun, Poland
• Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Torun, Poland

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).