"...Using a detailed compartmental model of a layer 5 pyramidal neuron, and an improved method for quantifying subunit independence that incorporates a more accurate model of dendritic integration, we first established that the output of each dendrite can be almost perfectly predicted by the intensity and spatial configuration of its own synaptic inputs, and is nearly invariant to the rate of bAP-mediated 'cross-talk' from other dendrites over a 100-fold range..."
Model Type: Neuron or other electrically excitable cell; Synapse; Dendrite
Cell Type(s): Neocortex L5/6 pyramidal GLU cell
Currents: I Sodium; I Potassium
Transmitters: Glutamate
Model Concept(s): Dendritic Action Potentials; Spatio-temporal Activity Patterns; Parameter Fitting; Simplified Models; Active Dendrites; Detailed Neuronal Models; Action Potentials; Synaptic Integration
Simulation Environment: NEURON; Python
Implementer(s): Behabadi, Bardia [bardiafb+mdb at gmail.com]
References:
Behabadi BF, Mel BW. (2014). Mechanisms underlying subunit independence in pyramidal neuron dendrites. Proceedings of the National Academy of Sciences of the United States of America. 111 [PubMed]