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Formal proof of detector-activation “fingerprint” embeddings

Prove that, for a laid-out code space and its associated detector hierarchy constructed as described in Section 6, the activation pattern produced by the detector space in response to a stimulus (i.e., the matrix A and the resulting set of active detectors and their codes) uniquely characterizes the stimulus sufficiently to serve as a valid embedding, in the sense that distinct stimuli yield distinguishable activation patterns and codes under the specified thresholds.

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Background

The paper proposes constructing a detector hierarchy over a laid-out code space and using the activation pattern of that hierarchy as a compact structural embedding for stimuli. The authors argue that the activation behaves like a fingerprint and thus can encode the structure of the stimulus domain in a discrete vector.

While experiments suggest the approach works across modalities (e.g., morphology and histochemical markers), the authors explicitly note that they have not yet provided a formal proof that the activation pattern is discriminative enough to serve as a reliable embedding. Establishing such a proof would validate the theoretical foundation of using detector-space activations as embeddings and clarify the conditions under which the mapping is sufficiently unique.

References

Based on the assumption that the activation pattern is unique enough and behave like a "fingerprint" of the stimulus, it can be used as an embedding prototype. Our experiments (Chapter 7) make us believe the hypothesis is valid, but we do not provide formal proof yet.

Discrete approach to machine learning (2508.00869 - Kashitsyn et al., 19 Jul 2025) in Section 6.2, Detector hierarchy and embeddings