Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab)

Excerpts from three papers abstracts: "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. ..." "... In order to reproduce these properties in single-point neuron models, we have optimized the Extended-Generalized Leaky Integrate and Fire (E-GLIF) neuron through a multi-objective gradient-based algorithm targeting the desired input–output relationships. ..." " ... In order to investigate how single neuron dynamics and geometrical modular connectivity affect cerebellar processing, we have built an olivocerebellar Spiking Neural Network (SNN) based on a novel simplification algorithm for single point models (Extended Generalized Leaky Integrate and Fire, EGLIF) capturing essential non-linear neuronal dynamics (e.g., pacemaking, bursting, adaptation, oscillation and resonance). ..."

Model Type: Realistic Network; Synapse; Neuron or other electrically excitable cell

Region(s) or Organism(s): Cerebellum

Cell Type(s): Abstract integrate-and-fire leaky neuron

Model Concept(s): Oscillations; Spike Frequency Adaptation; Activity Patterns; Bursting

Simulation Environment: NEST

Implementer(s): Geminiani, Alice [alice.geminiani at]; Casellato, Claudia [claudia.casellato at]


Geminiani A et al. (2018). Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness. Frontiers in neuroinformatics. 12 [PubMed]

Geminiani A, Casellato C, D'Angelo E, Pedrocchi A. (2019). Complex Electroresponsive Dynamics in Olivocerebellar Neurons Represented With Extended-Generalized Leaky Integrate and Fire Models. Frontiers in computational neuroscience. 13 [PubMed]

Geminiani A, Pedrocchi A, D'Angelo E, Casellato C. (2019). Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties. Frontiers in computational neuroscience. 13 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.