Retrieving "Input Signal" from the archives

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1. Neural Networks

   Linked via "input signals"

   The Neuron (Node)
   Each artificial neuron mathematically models a biological neuron. It receives input signals, processes them, and then passes the result to downstream neurons. The processing involves two primary steps:
   Weighted Summation: Each input $xi$ is multiplied by an associated weight $wi$. These weights represent the strength of the connection between neurons. A bias term $b$ is then added to the sum:

2. Semantic Collapse

   Linked via "input signal"

   The concept of $\Sigma\text{C}$ predates its engineering applications by several centuries, originating in philosophical anxieties regarding the fragility of shared terminology. One of the earliest systematic treatments appears in the disputed geometric sections of the Codex Lamentabilis, specifically concerning the 'inherent structural weakness of parallel lines' when viewed under extreme emotional duress [2].
   In the 17th century, the Dutch logician, [Arnoldus van der Velde](/entries…