Regular spiking in high conductance states: the essential role of inhibition
| Autor: | Lubomir Kostal, Tomáš Bárta |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Neurons
Membrane potential Artificial neural network Quantitative Biology::Neurons and Cognition Chemistry Single compartment Mechanism (biology) Models Neurological Conductance Inhibitory postsynaptic potential 01 natural sciences 010305 fluids & plasmas Kinetics nervous system FOS: Biological sciences Quantitative Biology - Neurons and Cognition 0103 physical sciences Neurons and Cognition (q-bio.NC) Synaptic current 010306 general physics Neuroscience Neuronal models |
| Popis: | Strong inhibitory input to neurons, which occurs in balanced states of neural networks, increases synaptic current fluctuations. This has led to the assumption that inhibition contributes to the high spike-firing irregularity observed in vivo. We used single compartment neuronal models with time-correlated (due to synaptic filtering) and state-dependent (due to reversal potentials) input to demonstrate that inhibitory input acts to decrease membrane potential fluctuations, a result that cannot be achieved with simplified neural input models. To clarify the effects on spike-firing regularity, we used models with different spike-firing adaptation mechanisms, and we observed that the addition of inhibition increased firing regularity in models with dynamic firing thresholds and decreased firing regularity if spike-firing adaptation was implemented through ionic currents or not at all. This fluctuation-stabilization mechanism provides an alternative perspective on the importance of strong inhibitory inputs observed in balanced states of neural networks, and it highlights the key roles of biologically plausible inputs and specific adaptation mechanisms in neuronal modeling. |
| Databáze: | OpenAIRE |
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