The phrase "a connectivity function" is correct and usable in written English.
It can be used in contexts related to technology, mathematics, or networking, where you are discussing a function that establishes or measures connections between elements.
Example: "In our analysis, we will implement a connectivity function to evaluate the relationships between different nodes in the network."
Alternatives: "a connection function" or "a linking function".
A connectivity function computes a value f(π a ) for any path π a, usually based on arc weights.
In the work described here, we often use H ϑ, θ, u as a connectivity function in the sense of Equation (5).
For most of the models presented here the potential arborization locations 𝒜 u for a neuron are defined relative to the location u of the soma of that neuron and are determined by a connectivity function (5) where a single arborization location a i, u ∈ 𝒜u, a i, u ∈ ℝ.
In Fig. 2 we show a direct numerical simulation of the full space time model to illustrate that a synaptic connectivity function that is a radially symmetric difference of Gaussians can support a spreading labyrinthine pattern.
Fig. 3 Plots of the solution of equation (13) in the case of an exponential connectivity function with b = 0.1 at different times with a time-dependent input, see text.
One important thing to note is that the function (f_{text {OIFT}}^{S_{1},S_{2}}) is a non-smooth connectivity function, as shown in [22].
Once again the choice of a piece-wise constant connectivity function considerably simplifies further calculations.
We give some numerical solutions of (13) in the case where the connectivity function is a difference of Gaussians, which features an excitatory center and an inhibitory surround: w ( x ) = 1 2 π σ 1 2 e − x 2 σ 1 2 − A 2 π σ 2 2 e − x 2 σ 2 2 with σ 1 = 0.1, σ 2 = 0.2 and A = 1.
From this training set, distributions of node connectivity, function within a cluster, and function among immediate neighbors in a cluster were calculated.
Neural fields of Amari type are known to support spatially localised stationary bump patterns when the anatomical connectivity function has a Mexican-hat shape.
The connectivity function checks if a given set of blocks forms a path.
