Synaptic weight

In neuroscience and computer science, synaptic weight refers to the strength or amplitude of a connection between two nodes, corresponding in biology to the amount of influence the firing of one neuron has on another. The term is typically used in artificial and biological neural network research.

In a computational neural network, a vector or set of inputs ${\displaystyle {\textbf {x}}}$ and outputs ${\displaystyle {\textbf {y}}}$, or pre- and post-synaptic neurons respectively, are interconnected with synaptic weights represented by the matrix ${\displaystyle w}$, where for a linear neuron

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