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

Figure 6

Elements in NetworkML.

The core elements for expressing networks are population for homogenous groups of cells positioned in 3D, projections for synaptic contacts between (or within) populations and inputs for electrical stimulation to the network. The networks can either be expressed as lists of precise positions, connections and input locations (instance based representation) or as templates for generating these lists (template based representation). A detailed description of each of these elements can be found in Supporting Text S1.

Figure 6