sequential circuit (X-net)
Compiled with AI assistance and selectively reviewed. Please consult the cited passages; the books remain the authoritative source. About this companion
Editorial synthesis · provisional
Definition
A sequential circuit, or X-net in RB2’s neural-mind account, organizes ordered action or event phases through linked activation and inhibition. The source connects motor sequencing with the structure of events and narratives through neural reuse. The proposal preserves its computational bridging role without identifying every sequence with one circuit, reducing all narrative meaning to motor control or treating cosmic cascades as literally neural networks.
Explanation
The defining passage describes one node activating a subsequent phase while inhibiting the preceding one. This supplies an ordered process in the model rather than an unordered collection of elements. The native reference retains the source’s theoretical account without this review providing a newly measured circuit implementation or universal sequencing equation.
The adjacent grammatical-aspect discussion compares starting, continuing and finishing with hierarchical action control. Reuse explains a proposed relation between bodily and linguistic organization without making all language a literal motor command. Computational correspondence and an experimentally complete neural account remain distinguishable in the source’s bridging-model context.
AB repeats the computational-model example accessibly; RB3 extends X-net and cascade vocabulary to cosmic and technical processes. Those authorial comparisons preserve different materials and mechanisms. The entry retains the inherited neural sequencing sense rather than inferring that a star generation executes the same circuitry as an embodied language user.
Scope and attribution
Keep sequential model scope, attribution and cross-domain limits without a universal circuitry claim.
AB — The Actual Book
Motor–aspect correspondence is presented through models and distinct mechanisms.
Occurrence locators: 97.
RB2 — The Real Book, Volume II: Becoming Is Being
Ordered phases and neural reuse remain computational bridging claims.
Occurrence locators: 102, 103.
Background used in the editorial explanation
Neural sequencing is distinguished from cosmic cascades and machine instruction-network analogies.