Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and Mental Continuity
Jared Edward Reser

TL;DR
This paper proposes an AI architecture that mimics human working memory, mental imagery, and continuity by integrating neural networks and persistent neural activity, aiming to advance synthetic consciousness.
Contribution
It introduces a biologically inspired AI model that simulates human-like mental processes, including working memory updating and mental continuity, through interconnected neural modules and persistent activity mechanisms.
Findings
Demonstrates how recursive updating of representations leads to mental continuity.
Shows potential for artificial consciousness through hierarchical neural structures.
Provides a pathway for synthetic sentience based on biological principles.
Abstract
This article presents an artificial intelligence (AI) architecture intended to simulate the iterative updating of the human working memory system. It features several interconnected neural networks designed to emulate the specialized modules of the cerebral cortex. These are structured hierarchically and integrated into a global workspace. They are capable of temporarily maintaining high-level representational patterns akin to the psychological items maintained in working memory. This maintenance is made possible by persistent neural activity in the form of two modalities: sustained neural firing (resulting in a focus of attention) and synaptic potentiation (resulting in a short-term store). Representations held in persistent activity are recursively replaced resulting in incremental changes to the content of the working memory system. As this content gradually evolves, successive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEEG and Brain-Computer Interfaces
