" ... Here, we use a modeling approach to investigate whether and how the morphology of the basal tree mediates the functional output of neurons. We implemented 57 basal tree morphologies of layer 5 prefrontal pyramidal neurons of the rat and identified morphological types which were characterized by different response features, forming distinct functional types. These types were robust to a wide range of manipulations (distribution of active ionic mechanisms, NMDA conductance, somatic and apical tree morphology or the number of activated synapses) and supported different temporal coding schemes at both the single neuron and the microcircuit level. We predict that the basal tree morphological diversity among neurons of the same class mediates their segregation into distinct functional pathways. ..."
Model Type: Neuron or other electrically excitable cell
Region(s) or Organism(s): Prefrontal cortex (PFC)
Cell Type(s): Neocortex L5/6 pyramidal GLU cell
Currents: I A; I h; I L high threshold; I T low threshold; I N; I R; I K,Ca; I_AHP; I_Ks; I Na,p; I Na,t; I K
Receptors: AMPA; NMDA; GabaA; GabaB
Model Concept(s): Active Dendrites; Detailed Neuronal Models
Simulation Environment: NEURON
Implementer(s): Papoutsi, Athanasia [athpapoutsi at gmail.com]
References:
Papoutsi A, Kastellakis G, Poirazi P. (2017). Basal tree complexity shapes functional pathways in the prefrontal cortex. Journal of neurophysiology. 118 [PubMed]