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Effects of reciprocal inhibitory coupling in model neurons
- Source :
- Biosystems. 127:73-83
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Central pattern generators are neuron networks that produce vital rhythmic motor outputs such as those observed in mastication, walking and breathing. Their activity patterns depend on the tuning of their intrinsic ionic conductances, their synaptic interconnectivity and entrainment by extrinsic neurons. The influence of two commonly found synaptic connectivities – reciprocal inhibition and electrical coupling – are investigated here using a neuron model with subthreshold oscillation capability, in different firing and entrainment regimes. We study the dynamics displayed by a network of a pair of neurons with various firing regimes, coupled by either (i) only reciprocal inhibition or by (ii) electrical coupling first and then reciprocal inhibition. In both scenarios a range of coupling strengths for the reciprocal inhibition is tested, and in general the neuron with the lower firing rate stops spiking for strong enough inhibitory coupling, while the faster neuron remains active. However, in scenario (ii) the originally slower neuron stops spiking at weaker inhibitory coupling strength, suggesting that the electrical coupling introduces an element of instability to the two-neuron network.
- Subjects :
- Statistics and Probability
Models, Neurological
Biological neuron model
Synaptic Transmission
General Biochemistry, Genetics and Molecular Biology
medicine
Computer Simulation
Neurons
Physics
Quantitative Biology::Neurons and Cognition
Applied Mathematics
Gap junction
Reciprocal inhibition
Central pattern generator
Neural Inhibition
General Medicine
Coupling (electronics)
medicine.anatomical_structure
nervous system
Modeling and Simulation
Synapses
Central Pattern Generators
Neuron
Entrainment (chronobiology)
Neuroscience
Reciprocal
Subjects
Details
- ISSN :
- 03032647
- Volume :
- 127
- Database :
- OpenAIRE
- Journal :
- Biosystems
- Accession number :
- edsair.doi.dedup.....43daa0f018a04745941348da1349ddd5
- Full Text :
- https://doi.org/10.1016/j.biosystems.2014.11.002