We propose the first computational model of cerebellar Purkinje cell with dendritic heterogeneity. Each branch in our model is an individual unit and is characterized by its own set ion channel conductance density. We model clustered parallel fiber input and we measure the peak amplitude of a response. We observe how changes in P-type calcium conductance density changes the peak amplitude response from linear to bimodal step-plateau and vice-versa for each branch of the dendritic tree. We show how the dendritic calcium spikes propagate and how Kv4 channels block spreading depolarization to nearby branches.
Model Type: Dendrite; Neuron or other electrically excitable cell
Region(s) or Organism(s): Cerebellum
Cell Type(s): Cerebellum Purkinje GABA cell
Currents: I Calcium; I Potassium; I T low threshold; I h
Receptors:
Genes:
Transmitters:
Model Concept(s): Dendritic Action Potentials; Detailed Neuronal Models; Intrinsic plasticity; Synaptic Integration
Simulation Environment: NEURON
Implementer(s): Cirtala, Gabriela
References: