The code provided is a computational model of Purkinje cell activity in the presence of synaptic inputs. It is based on the work by Masoli et al., 2015. Purkinje cells are large neurons located in the cerebellar cortex and play a critical role in motor control. This specific model simulates the electrical activity of a Purkinje cell under the influence of inputs resembling those from mossy fibers, which are part of the cerebellar circuitry. ### Key Biological Aspects: 1. **Purkinje Cell Model:** - The code simulates a Purkinje neuron, a type of neuron with extensive dendritic arborizations that receive and integrate synaptic inputs. 2. **Synaptic Inputs:** - The model includes both excitatory and inhibitory synaptic inputs: - **Excitatory Synapses:** Represented by `NoisyExp2Syn` objects, these synapses involve a minimal model of synaptic transmission with parameters for two time constants (`tau1` and `tau2`) for synaptic current kinetics. This likely represents glutamatergic inputs. - **Inhibitory Synapses:** These use similar modeling structures but with different time constants and reversal potential (`e = -80 mV`), suggesting chloride-mediated GABAergic inputs. 3. **Poisson Process:** - Synaptic inputs are modeled using a Poisson process (`NetStim`), which introduces a stochastic element to the firing of the synapses. This is biologically relevant as synaptic inputs in the brain display variability akin to a Poisson distribution. 4. **Synaptic Weights and Dynamics:** - Synaptic weights are modulated by the parameter `synparam`. Weights determine the influence of each synapse's activity on the postsynaptic cell. - The code allows for the exploration of varying synaptic strengths and dynamics, reflecting variability that occurs in biological systems. 5. **Extracellular Stimulation:** - The code includes extracellular stimulation features, implemented to simulate influences like those from transcranial direct current stimulation (tDCS), mimicking non-invasive brain stimulation techniques where electrical fields impact neuronal activity. 6. **Temperature and Electrical Parameters:** - Simulations are conducted at a physiological temperature (`celsius = 37`°C), ensuring the model's dynamics are comparable to the biological environment. Overall, this computational model approximates the complex synaptic interactions and electrical activity within a Purkinje cell subjected to mossy fiber-like inputs. It captures critical aspects of cerebellar function and synaptic integration.