Field Lab · Experimental Tool
NeuroMorph is a browser-based research tool that explores whether a simulated neuromorphic signal can alter the behavior of a large language model. You enter a prompt, the engine propagates it through three ternary (true / neutral / false) network layers, then fires two parallel Claude calls — one raw, one shaped by the network's output.
A divergence analysis then compares the two responses to surface connections and framings that linear prompting misses. The goal is not to produce better answers, but to produce different ones — mapping the edges of the model's reasoning under an unconventional signal. Built as part of Modern Explorer's Field Lab series of free, open research utilities.
NeuroMorph Sandbox runs your text through three layers: a simulated neuromorphic propagation network, a ternary (true/neutral/false) logic filter, and two parallel Claude calls — one standard, one shaped by the network's signal. A divergence analysis then compares them to surface connections a linear AI response misses.