Adds a BiasOrigin, which operates in parallel with an existing Origin, such that the effective weights of the
two origins together are all of the same sign (as is normally the case with synaptic weights in the brain).
Adds a one dimension termination to the network
This allows the user to specify which dimension the input value should be stored in as opposed to sending in a weight matrix to do so
A multiplier transform is also expected
To be used in place of the Mac look & feel apple.laf.AquaTreeUI (and CUIAquaTree), which seem not to
respect differences in tree cell size, or to expand tree cells when they change size.
An editor component (from ConfigurationHandler.getEditor(...)) must
implement EditorProxy in order to allow retrieval of a new value when
editing is complete.
This method is publically exposed because normal deviates are often needed,
and static access allows the compiler to inline the call, which brings a
small performance advantage.
Euler's method of numerical integration: x(t+h) ~ x(t) + h*x'(t)
TODO: test
TODO: should there be some means for aborting early (aside from exceptions, e.g.
Note: setters are private, because Origins typically make copies for each output dimension,
which would then not be updated with changes to the original.
Non Linear Network
This network is a model of Pyramidal Cells found in the central nervous system
These cells contain an active dendritic tree with functional computation occuring within the dendrites themselves
The implementation chosen involves creating a network of Ensembles(dendrites and cell bodies) such that one ensemble of "dendrites" projects to a specific termination in the "soma"
ensemble with weights chosen in such a way that only one node of the soma is given an input from a specific dendritic branch.
Note: by-products of decoding are sometimes cached, so if these are changed it may be
necessary to call setReuseApproximators(false) for the change to take effect.
Sets the object to run in either the given mode or the closest mode that it supports
(all ModeConfigurables must support SimulationMode.DEFAULT, and must default to this mode).
By default, attempts to call method setX(y) on Configurable, where X is the name of the property (with
first letter capitalized) and y is the value (changed to a primitive if it's a primitive wrapper).
A linear time-invariant system with the following properties:
A diagonal dynamics matrix
A zero passthrough matrix
This implementation will run faster than an instance of the superclass that
has these properties.
A LinearApproximator in which error is evaluated at a fixed set of points, and
the cost function that is minimized is a weighted integral of squared error.
X -
Static variable in interface ca.nengo.model.nef.NEFEnsemble
Standard name for the Origin corresponding to the decoded estimate of the state variables
that Ensemble represents (X is a standard name for state variables in state-space models).