An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological Dynamics
The human brain is a complex network of connected neurons whose dynamics are difficult to describe. Brain dynamics are the global manifestation of individual neuron dynamics and the synaptic coupling between neurons. Membrane potential is a function of synaptic dynamics and electrophysiological coup...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Dynamics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-8716/3/1/7 |
| _version_ | 1797612353207926784 |
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| author | Chun-Lin Yang Nandan Shettigar C. Steve Suh |
| author_facet | Chun-Lin Yang Nandan Shettigar C. Steve Suh |
| author_sort | Chun-Lin Yang |
| collection | DOAJ |
| description | The human brain is a complex network of connected neurons whose dynamics are difficult to describe. Brain dynamics are the global manifestation of individual neuron dynamics and the synaptic coupling between neurons. Membrane potential is a function of synaptic dynamics and electrophysiological coupling, with the parameters of postsynaptic potential, action potential, and ion pump dynamics. By modelling synaptic dynamics using physical laws and the time evolution of membrane potential using energy, neuron dynamics can be described. This local depiction can be scaled up to describe mesoscopic and macroscopic hierarchical complexity in the brain. Modelling results are favorably compared with physiological observation and physically acquired action potential profiles as reported in the literature. |
| first_indexed | 2024-03-11T06:40:04Z |
| format | Article |
| id | doaj.art-9fde90649ba64cf6845baaef3930160d |
| institution | Directory Open Access Journal |
| issn | 2673-8716 |
| language | English |
| last_indexed | 2024-03-11T06:40:04Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Dynamics |
| spelling | doaj.art-9fde90649ba64cf6845baaef3930160d2023-11-17T10:40:11ZengMDPI AGDynamics2673-87162023-02-01319611410.3390/dynamics3010007An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological DynamicsChun-Lin Yang0Nandan Shettigar1C. Steve Suh2Nonlinear Engineering and Control Lab, Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843-3123, USANonlinear Engineering and Control Lab, Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843-3123, USANonlinear Engineering and Control Lab, Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843-3123, USAThe human brain is a complex network of connected neurons whose dynamics are difficult to describe. Brain dynamics are the global manifestation of individual neuron dynamics and the synaptic coupling between neurons. Membrane potential is a function of synaptic dynamics and electrophysiological coupling, with the parameters of postsynaptic potential, action potential, and ion pump dynamics. By modelling synaptic dynamics using physical laws and the time evolution of membrane potential using energy, neuron dynamics can be described. This local depiction can be scaled up to describe mesoscopic and macroscopic hierarchical complexity in the brain. Modelling results are favorably compared with physiological observation and physically acquired action potential profiles as reported in the literature.https://www.mdpi.com/2673-8716/3/1/7complex networksreal-life complex network modelingdynamical complex networksneuronal brain network dynamicsinformation entropystatistical mechanics |
| spellingShingle | Chun-Lin Yang Nandan Shettigar C. Steve Suh An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological Dynamics Dynamics complex networks real-life complex network modeling dynamical complex networks neuronal brain network dynamics information entropy statistical mechanics |
| title | An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological Dynamics |
| title_full | An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological Dynamics |
| title_fullStr | An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological Dynamics |
| title_full_unstemmed | An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological Dynamics |
| title_short | An Energy-Based Complex Brain Network Model—Part 1: Local Electrophysiological Dynamics |
| title_sort | energy based complex brain network model part 1 local electrophysiological dynamics |
| topic | complex networks real-life complex network modeling dynamical complex networks neuronal brain network dynamics information entropy statistical mechanics |
| url | https://www.mdpi.com/2673-8716/3/1/7 |
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