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HYPOTHESIS AND THEORY article

Front. Syst. Neurosci.
Volume 18 - 2024 | doi: 10.3389/fnsys.2024.1302429

Brain-Consistent Architecture for Imagination

Provisionally accepted
Hiroshi Yamakawa Hiroshi Yamakawa 1,2*Ayako Fukawa Ayako Fukawa 2Ikuko E. Yairi Ikuko E. Yairi 3Yutaka Matsuo Yutaka Matsuo 1
  • 1 The University of Tokyo, Bunkyo, Tōkyō, Japan
  • 2 Whole Brain Architecture Initiative (WBAI), Edogawa-ku, Japan
  • 3 Sophia University, Chiyoda, Tokyo, Tōkyō, Japan

The final, formatted version of the article will be published soon.

    Background: Imagination represents a pivotal capability of human intelligence. To develop human-like artificial intelligence, uncovering the computational architecture pertinent to imaginative capabilities through reverse engineering the brain's computational functions is essential. The existing Structure-Constrained Interface Decomposition (SCID) method, leverages the anatomical structure of the brain to extract computational architecture. However, its efficacy is limited to narrow brain regions, making it unsuitable for realizing the function of imagination, which involves diverse brain areas such as the neocortex, basal ganglia, thalamus, and hippocampus.Objective: In this study, we proposed the Function-Oriented SCID method, an advancement over the existing SCID method, comprising four steps designed for reverse engineering broader brain areas. This method was applied to the brain's imaginative capabilities to design a hypothetical computational architecture. The implementation began with defining the human imaginative ability that we aspire to simulate. Subsequently, six critical requirements necessary for actualizing the defined imagination were identified. Constraints were established considering the unique representational capacity and the singularity of the neocortex's modes, a distributed memory structure responsible for executing imaginative functions. In line with these constraints, we developed five distinct functions to fulfill the requirements. We allocated specific components for each function, followed by an architectural proposal aligning each component with a corresponding brain organ.Results: In the proposed architecture, the distributed memory component, associated with the neocortex, realizes the representation and execution function; the imaginary zone maker component, associated with the claustrum, accomplishes the dynamic-zone partitioning function; the routing conductor component, linked with the complex of thalamus and basal ganglia, performs the manipulation function; the mode memory component, related to the specific agranular neocortical area executes the mode maintenance function; and the recorder component, affiliated with the hippocampal formation, handles the history management function. Thus, we have provided a fundamental cognitive architecture of the brain that comprehensively covers the brain's imaginative capacities.

    Keywords: Imagination, function-oriented structure-constrained interface decomposition method, reverse engineering, artificial intelligence, brain-inspired software

    Received: 26 Sep 2023; Accepted: 29 Jul 2024.

    Copyright: © 2024 Yamakawa, Fukawa, Yairi and Matsuo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Hiroshi Yamakawa, The University of Tokyo, Bunkyo, 113-8654, Tōkyō, Japan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.