, also Static Connection
— Latent Connections or LC's are possible connections defined in the synapse
space of a neuron
between itself and other specific neurons. That is, a Latent Connection
is a predefined possible synapse connection between two specific neurons (or between any two devices in Netlab).
Latent Connection is a Netlab term with no direct analog in the study of biological neural networks, though one might loosely interpret it as being similar to the concept of a silent synapse
Difference between LC's and RPs
As stated, an LC is a predefined (possible) connection between a specified
target neuron and the axon
(output) of another specified
neuron. The key word is 'specified'
. The specific pre- and post-synaptic neurons being connected are determined at design-time. The latent connection can develop into a full connection based on how the weights
are adjusted at run time, but it is limited to being between the two neurons (pre and post), which had been specified
(i.e., Receptor Pad
) is a specified site on a target neuron that can form a dynamic connection to a single axon
source within the system (depending on run-time experiences). The key word here is 'any'
. The pre-synaptic
neuron that makes connection to an RP
is determined at run time and is not specified at design time.
s are for specifying a possible connection between a specified axon and a specified neuron (or bundle). These are what is thought of when considering typical ANN
topologies. They are useful in many networks that only need hard coded, latent organization.
s are places on a neuron that may form a connection with any other neuron in the system at run-time. In Netlab
s may be used exclusively to build networks, or may be designed as part of the structure of networks that also include LC
s are part of Netlab's pathfinding
functionality, which includes pathfinders and chemical influences