AdditiveCoupling#
- class brainmass.AdditiveCoupling(x, conn, k=1.0)#
Additive coupling.
This class implements an additive coupling mechanism for neural network modules. It simulates the following model:
\[ \mathrm{current}_i = k * \sum_j g_{ij} * x_{D_{ij}} \]- where:
\(\mathrm{current}_i\): the output current for neuron \(i\)
\(g_{ij}\): the connection strength between neuron \(i\) and neuron \(j\)
\(x_{D_{ij}}\): the delayed state variable for neuron \(j\), as seen by neuron \(i\)
- Parameters:
x (
PrefetchDelayAt|PrefetchDelay|Prefetch|Callable) – The delayed state variable for the source units.conn (
Callable|Array|ndarray|bool|number|bool|int|float|complex|Quantity|Param) – The connection matrix (1D or 2D array) specifying the coupling strengths between units.k (
Callable|Array|ndarray|bool|number|bool|int|float|complex|Quantity|Param) – The global coupling strength. Default is 1.0.
- Return type:
Any