Three-Axis Cognitive Architecture Model: A Theoretical Framework Based on Processing Speed, Memory Encoding, and Sensory Gain

This paper proposes a theoretical cognitive architecture model based on three fundamental axes: processing speed, memory encoding format, and sensory gain. Unlike traditional intelligence metrics such as IQ, which primarily measure performance accuracy and speed, this model focuses on structural differences in how information is received, encoded, and reconstructed. The model distinguishes between reversible memory encoding, which preserves sensory fidelity, and irreversible compressed encoding, which preserves semantic structure. Additionally, sensory gain represents differences in input intensity and perceptual resolution. These three axes collectively define cognitive output modes, including reproduction, structural synthesis, optimization, and generative reconstruction. This framework is proposed as a structural model rather than a diagnostic or hierarchical classification. Functional projections, including potential social and creative roles, are presented as hypotheses derived from the architecture. This model provides a unified perspective integrating cognitive processing, memory theory, and generative cognition.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-16
DOI
https://doi.org/10.5281/zenodo.18654375
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Three-Axis Cognitive Architecture Model: A Theoretical Framework Based on Processing Speed, Memory Encoding, and Sensory Gain

Hitoshi Akimoto
Zenodo (CERN European Organization for Nuclear Research)
Ferroelectric and Negative Capacitance Devices
article

Three-Axis Cognitive Architecture Model: A Theoretical Framework Based on Processing Speed, Memory Encoding, and Sensory Gain

Hitoshi Akimoto
article en

Abstract

This paper proposes a theoretical cognitive architecture model based on three fundamental axes: processing speed, memory encoding format, and sensory gain. Unlike traditional intelligence metrics such as IQ, which primarily measure performance accuracy and speed, this model focuses on structural differences in how information is received, encoded, and reconstructed. The model distinguishes between reversible memory encoding, which preserves sensory fidelity, and irreversible compressed encoding, which preserves semantic structure. Additionally, sensory gain represents differences in input intensity and perceptual resolution. These three axes collectively define cognitive output modes, including reproduction, structural synthesis, optimization, and generative reconstruction. This framework is proposed as a structural model rather than a diagnostic or hierarchical classification. Functional projections, including potential social and creative roles, are presented as hypotheses derived from the architecture. This model provides a unified perspective integrating cognitive processing, memory theory, and generative cognition.

Zenodo (CERN European Organization for Nuclear Research)
Jinwen University of Science and Technology (TW)
Quality Education
Openalex Percentile: Top 54%
Ferroelectric and Negative Capacitance Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.