Lár DMN: A Bicameral Cognitive Architecture for Asynchronous Memory Consolidation

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Aadithya Vishnu Sajeev
DOI: 10.5281/zenodo.18175178
Cited by: 2

Abstract

A reference implementation of a Bicameral Artificial Intelligence architecture that mimics the human Default Mode Network (DMN). It utilizes a dual-process system ('Fast' Thalamus vs. 'Slow' Dreamer) to enable asynchronous memory consolidation and prevent catastrophic forgetting in Long-Term Memory (LTM) systems.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026