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NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail

Figure 10

Comparison of the behavior of a NeuroML-based Layer 2/3 network model with 5 cell types connected with both electrical and chemical synaptic connections run on NEURON, GENESIS and MOOSE simulators.

The network is based on the larger network described in Cunningham et al. [16], and uses five of the cortical cell models converted to NeuroML from Traub et al. [15]. (A) 20 regular spiking pyramidal cells (RS, blue), 6 fast rhythmic bursting pyramidal cells (FRB, black), 10 low threshold spiking interneurons (LTS, red), 10 axo-axonic interneurons (yellow) and 10 basket cells (brown) placed at random in a cylindrical region. The network contained electrical connections between the cells within each population, along with 4300 excitatory connections of 10 types within and between populations and 3800 inhibitory connections of 12 types (Supporting Table S4), but these are not shown. (B) Somatic membrane potential traces from 2 each of RS, FRB and LTS cells (with colors as in (A)) for simulations run on NEURON (top), GENESIS (middle) and MOOSE (bottom). Simulation time step was 0.001 ms.

Figure 10

doi: https://doi.org/10.1371/journal.pcbi.1000815.g010