Related Documentation:
Physical Processes and Model Variables
Connections are made between event-generators and event-receivers. The Neurospaces / GENESIS 3 model-container defines a template for event-receiving entities. Projections then run algorithms that instantiate these entities and attach them pre-synaptically to event-generators and post-synaptically to continuous-time state variables. The template attributes of ’delay and ’weight’ are inherited by the template instantiations created by the projection algorithms.
For most network models connections are algorithmically calculated, for example based on the distance between neurons and the synaptic contact points in the dendrite. That is why the model-container contains special algorithms to compute the connections between neurons.
The connections in a network model can be stored in two different ways:
CONNECTION_GROUP NMDA
CONNECTION n1 PARAMETERS PARAMETER ( PRE = Fiber[0]/spikegen ), PARAMETER ( POST = Granule[0]/Granule_soma/mf_NMDA/synapse ), PARAMETER ( WEIGHT = 1.0 ), PARAMETER ( DELAY = 0.0 ), END PARAMETERS END CONNECTION CONNECTION n2 PARAMETERS PARAMETER ( PRE = Fiber[1]/spikegen ), PARAMETER ( POST = Granule[0]/Granule_soma/mf_NMDA/synapse ), PARAMETER ( WEIGHT = 1.0 ), PARAMETER ( DELAY = 0.0 ), END PARAMETERS END CONNECTION END CONNECTION_GROUP |