Emergent Central Pattern Generator Behavior in Gap-Junction-Coupled Hodgkin-Huxley Style Neuron Model
| Autor: | Kyle G. Horn, Irene C Solomon, Heraldo Memelli |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
General Computer Science
Article Subject General Mathematics Models Neurological Neural Conduction Biological neuron model lcsh:Computer applications to medicine. Medical informatics Membrane Potentials lcsh:RC321-571 03 medical and health sciences 0302 clinical medicine medicine Animals Computer Simulation lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry 030304 developmental biology Motor Neurons Physics Membrane potential Behavior 0303 health sciences General Neuroscience Gap junction Gap Junctions Central pattern generator General Medicine Division (mathematics) Hodgkin–Huxley model Coupling (electronics) medicine.anatomical_structure Central Pattern Generators lcsh:R858-859.7 Neuroscience Nucleus 030217 neurology & neurosurgery Research Article |
| Zdroj: | Computational Intelligence and Neuroscience, Vol 2012 (2012) Computational Intelligence and Neuroscience |
| ISSN: | 1687-5265 |
| DOI: | 10.1155/2012/173910 |
| Popis: | Most models of central pattern generators (CPGs) involve two distinct nuclei mutually inhibiting one another via synapses. Here, we present a single-nucleus model of biologically realistic Hodgkin-Huxley neurons with random gap junction coupling. Despite no explicit division of neurons into two groups, we observe a spontaneous division of neurons into two distinct firing groups. In addition, we also demonstrate this phenomenon in a simplified version of the model, highlighting the importance of afterhyperpolarization currents (I(AHP)) to CPGs utilizing gap junction coupling. The properties of these CPGs also appear sensitive to gap junction conductance, probability of gap junction coupling between cells, topology of gap junction coupling, and, to a lesser extent, input current into our simulated nucleus. |
| Databáze: | OpenAIRE |
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