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A bi-variable learning rule that can be bound to the underlying network. The rule is defined by the referenced <rule>. Its scope is defined in terms of two sets of nodes together with a set of connections. The rule is referenced and must be of type Particle. For cnset objects to be valid, each record must contain at least one connection and at least 2 nodes. The <rule> governing plasticity is applied once for each record. The plastic <parameter> is defined relative to the first connection. The two variables to the rule are given by calling <objone> and <objtwo>, defined relative to the first and the second nodes. When calling each object, it is passed the network time, minus the delay in the corresponding connection, and for the first object, minus the <credit-delay>. If <fixed-delay> is true, then it is assumed that the synaptic delays in the system are fixed and optimisations can be made in determining when the objects need to be called.
Naming
rule references the ruleConfiguration
rule=<ref> sets the rule credit-delay=<data> sets the temporal credit delay (0) fixed-delay=<bool> if delays are fixed (true)Additional arguments to existing commands
bind objone=<id> objtwo=<id> [parameter=<id>] [rule=<id>] [fixed-delay=<bool>] [credit-delay=<value>] <further arguments for derived commands> binds itself to the underlying network structure objone=<id> the first object variable defines relative to the first node objtwo=<id> the second object variable defines relative to the second node parameter=<id> the plastic parameter relative to the connection rule=<id> the rule determining the plastic change in the parameter fixed-delay=<bool> whether the relevant synaptic delays in the system are fixed credit-delay=<value> the temporal delay applied when calculating the first object
Go to the previous, next section, table of contents. Document generated Mon Jun 16 02:19:05 GMT 2003