Notes: an updated version of this model was published in Tomkins, A., Vasilaki, E., Beste, C., Gurney, K. This can be loaded by the StriatumNetworkParameters.m function - see that function for instructions. We also make available a complete connectivity matrix (129MB) describing all the connections in a 1mm3 model with 1% FSIs. 9 in the paper) and for assessing the impact of the inputs to a single MSN in the network (Fig. The code includes the full set of analysis routines for finding the firing rate distributions (Fig.

The source C++ code for the MEX files is also included so they can be recompiled for other systems. The code archive contains all of the MATLAB scripts, functions and MEX files that produced the dynamical model results from that paper. We used this 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. These networks were examined for their predictions for the distributions of the numbers and distances of connections for all the connections in the microcircuit. 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. 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.

The main thrust of this paper was the development of the 3D anatomical network of the striatum's GABAergic microcircuit.

Wpurpose of globus simulation