This week on Journal Club session Ohki Katakura's will talk about neuronal modelling of cerebellar Purkinje cell while referencing various papers.
Cerebellar Purkinje cell is the hugest and the most complicated neuron in the cerebellum. As well as cerebellar cortex network, some researchers think that the cell has rich computational capacity because of its complexity. Based on experimental studies, it was realistically modelled in 1994 (De Schutter & Bower, 1994ab), and then the model has been recently updated (Masoli et al., 2015; Zang et al., 2018). In this session, I will introduce details of the models (i.e., morphology and embedded ion channels) and the differences between all three of them.
- De Schutter, E., Bower, J.M., 1994a. "An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice". Journal of Neurophysiology 71, 375–400.
- De Schutter, E., Bower, J.M., 1994b. "An active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses". Journal of Neurophysiology 71, 401–419.
- Masoli, S., Solinas, S., D’Angelo, E., 2015. "Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization". Front. Cell. Neurosci. 9.
- Zang, Y., Dieudonné, S., De Schutter, E., 2018. "Voltage- and Branch-Specific Climbing Fiber Responses in Purkinje Cells". Cell Reports 24, 1536–1549.