feat: add conceptors#462
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Implement conceptors for recurrent neural networks after Jaeger (2014), "Controlling Recurrent Neural Networks by Conceptors" (arXiv:1403.3369), as a single src/conceptors.jl included in the module: - conceptor matrices C = R (R + a^-2 I)^-1, correlation, singular values, quota - aperture adaptation phi(C, gamma), reaperture, attenuation, optimal_aperture - Boolean algebra: conceptor_not / and / or (singular-safe), with unexported infix sugar not/and/or - Conceptor reservoir-computer wrapper + named conceptor library - load! (input-internalizing recurrent weights), generate (autonomous rollout), morph_conceptor (linear conceptor mixtures) - conceptor-filtered supervised training (store_conceptors!, train! method) Adds test/test_conceptors.jl (auto-discovered Core test, 42 tests), a docs example reproducing the morphing square (Fig. 2), an API page, and a bib entry. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01K8VYJcvx5GAAd16NEjL8Jm
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