neural theory of meaning

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

The neural theory of meaning is Lakoff and Narayanan’s research program relating conceptual and linguistic structures to neural organization shaped through bodily, social and physical interaction. RB2 presents frames, mappings and circuit models as proposed bridges toward implementation. The proposal preserves this attributed program without claiming every concept has been uniquely located, all circuit types independently confirmed or meaning exhausted by neural activation alone.

Explanation

The account rejects meanings as disembodied entities and treats learned neural connections as constitutive within the theory. It also explicitly grounds those connections in social and physical engagement. The embedded formulations and native references retain the authors’ strong theoretical commitment rather than becoming a newly certified complete neural map in this assessment.

The circuit typology is introduced as computational bridging models between conceptual structure and possible neural implementation. Neural reuse is central: higher cognition recruits architectures associated with perception and action rather than requiring an evolved dedicated metaphor organ. The proposal keeps model roles and empirical implementation distinguishable.

RB2 qualifies imaging support as nonuniform across metaphor types and later says meaning also transforms relations of address, salience and response. AB’s motor-sequencing example supplies an accessible comparative account. Together these retain the program’s ambition without making one imaging effect or computational correspondence prove all its claims.

Scope and attribution

Retain strong attributed claims alongside explicit model status, neural reuse and empirical limits.

AB — The Actual Book

Motor sequencing and grammatical aspect are compared through computational models.

Occurrence locators: 97; Thinker register: 231; Notes: 242.

RB2 — The Real Book, Volume II: Becoming Is Being

An evolving neural program retains model status, nonuniform evidence and a wider relational account of meaning.

Occurrence locators: 93, 99, 100, 101, 102, 103, 104, 106.