The main thrust of this paper was the development of the 3D anatomical network of the striatum's GABAergic microcircuit. We grew dendrite and axon models for the MSNs and FSIs and extracted probabilities for the presence of these neurites as a function of distance from the soma. From these, we found the probabilities of intersection between the neurites of two neurons given their inter-somatic distance, and used these to construct three-dimensional striatal networks. These networks were examined for their predictions for the distributions of the numbers and distances of connections for all the connections in the microcircuit. We then combined the neuron models from a previous model (Humphries et al, 2009; ModelDB ID: 128874) with the new anatomical model. We used this new complete striatal model to examine the impact of the anatomical network on the firing properties of the MSN and FSI populations, and to study the influence of all the inputs to one MSN within the network.
Model Type: Realistic Network; Neuron or other electrically excitable cell
Region(s) or Organism(s): Striatum
Cell Type(s): Neostriatum fast spiking interneuron
Receptors: D1; D2; GabaA; AMPA; NMDA
Transmitters: Dopamine; Gaba; Glutamate
Model Concept(s): Activity Patterns; Spatio-temporal Activity Patterns; Winner-take-all; Connectivity matrix
Simulation Environment: MATLAB
Implementer(s): Humphries, Mark D [m.d.humphries at shef.ac.uk]; Wood, Ric [ric.wood at shef.ac.uk]
References:
Humphries MD, Wood R, Gurney K. (2010). Reconstructing the three-dimensional GABAergic microcircuit of the striatum. PLoS computational biology. 6 [PubMed]