| Autor: |
Prabal, Ghosh, Sreeja, Sasidharan Rajeswari, Rohit, P. S., Manjusha, Nair |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2917 Issue 1, p1-10, 10p |
| Abstrakt: |
Neurotransmitters play a crucial role in neurological functions. Neural activity is significantly impacted by the balance of neurotransmitters in different parts of the brain. In order to comprehend many complex multi-factorial neurological diseases, mathematical modelling can be helpful. Neurotransmitter release, diffusion, and intake are studied rigorously nowadays in various computational models of brain disorders. The main focus of this work is on dopamine, a neurotransmitter that plays an important role associated with the brain's reward system. Dopamine-mediated neurodegenerations like Parkinson's disease (PD) and Schizophrenia have been studied recently using computational approaches. The current work, presented here uses mathematical models to analyse the impact of dopamine levels on specific brain networks leading to diseases such as PD. In this work, neural dynamics in the normal and parkinsonian states are studied in detail with the help of biologically inspired Basal Ganglia (BG) models. The simulations illustrate the behaviour of BG neurons under altered dopamine levels leading to normal or disease states. An extended study with the inclusion of learning and action selection may also help to model the reinforcement learning capability of the BG network. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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