Synaptic Depolarization: Setting Semantic Boundaries in LLM Context

In biological synapses, depolarization increases the likelihood that an action potential will fire, while hyperpolarization inhibits it. This behavior forms logical barriers, preventing signals from leaking into unrelated neural pathways.

Spector models this behavior to enforce security and logical boundaries (e.g. cross-tenant boundaries, or separating code development from system parameters).

Boundary Control Vectors

Every memory node is assigned a namespace depolarization vector. During retrieval, the active user context sets a depolarization key \(DK\).

If a candidate memory's namespace does not depolarize under the active key, its retrieval score is set to zero:

\[S_{final} = S_{raw} \times \delta(DK, Namespace)\]

Where \(\delta\) is an exact binary or cryptographic match check.

Multi-tenant Isolation

This hardware-level filter runs within the SIMD loop. Unpolarized memory segments are skipped entirely:

DK = 'tenant_A' -> Depolarizes 'tenant_A' memory segments -> Polarizes and blocks 'tenant_B' segments.

This design ensures absolute protection against context leaking, providing multi-tenant isolation at microsecond speeds.