Name
Title | ||
|---|---|---|
Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness. |
Abstract | ||
|---|---|---|
Brain neurons exhibit complex electroresponsive properties - including intrinsic subthreshold oscillations and pacemaking, resonance and phase-reset - which are thought to play a critical role in controlling neural network dynamics. Although these properties emerge from detailed representations of molecular-level mechanisms in "realistic" models, they cannot usually be generated by simplified neuronal models (although these may show spike-frequency adaptation and bursting). We report here that this whole set of properties can be generated by the extended generalized leaky integrate-and-fire (E-GLIF) neuron model. E-GLIF derives from the GLIF model family and is therefore mono-compartmental, keeps the limited computational load typical of a linear low-dimensional system, admits analytical solutions and can be tuned through gradient-descent algorithms. Importantly, E-GLIF is designed to maintain a correspondence between model parameters and neuronal membrane mechanisms through a minimum set of equations. In order to test its potential, E-GLIF was used to model a specific neuron showing rich and complex electroresponsiveness, the cerebellar Golgi cell, and was validated against experimental electrophysiological data recorded from Golgi cells in acute cerebellar slices. During simulations, E-GLIF was activated by stimulus patterns, including current steps and synaptic inputs, identical to those used for the experiments. The results demonstrate that E-GLIF can reproduce the whole set of complex neuronal dynamics typical of these neurons - including intensity-frequency curves, spike-frequency adaptation, post-inhibitory rebound bursting, spontaneous subthreshold oscillations, resonance, and phase-reset - providing a new effective tool to investigate brain dynamics in large-scale simulations. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3389/fninf.2018.00088 | FRONTIERS IN NEUROINFORMATICS |
Keywords | Field | DocType |
neuronal modeling,point neuron,leaky integrate-and-fire,model simplification,neuronal electroresponsiveness,Golgi cell,cerebellum | Bursting,Complex dynamics,Neuroscience,Biological neuron model,Golgi cell,Biology,Subthreshold conduction,Neuron,Genetics,Artificial neural network,Electrophysiology | Journal |
Volume | ISSN | Citations |
12 | 1662-5196 | 1 |
PageRank | References | Authors |
0.36 | 17 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alice Geminiani | 1 | 10 | 4.06 |
| Claudia Casellato | 2 | 28 | 8.64 |
| Francesca Locatelli | 3 | 1 | 0.70 |
| Francesca Prestori | 4 | 1 | 0.70 |
| Alessandra Pedrocchi | 5 | 51 | 21.27 |
| Egidio D'Angelo | 6 | 57 | 12.77 |