{
  "abstract": "We propose a neurobiologically plausible model of cognition that combines the advantages of connectionist and symbolic systems, and that can explain a wide range of cognitive phenomena. This model, called Rate-Coding Bundle Memory (RCBM), is based on the Symbolic Subsystem Hypothesis, which posits that the brain implements a symbolic subsystem within its fundamentally connectionist nature. RCBM is a hybrid model that uses rate coding to represent symbols in a continuous space, and it uses a bundle memory system to store and retrieve these symbols. The model is capable of solving a wide range of cognitive phenomena, including one-shot learning, pattern separation, and the binding problem. We argue that RCBM provides a promising framework for understanding the nature of cognition, and that it can be used to develop more sophisticated models of cognition in the future.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2608.29189",
  "author_total": 4,
  "authors": [
    {
      "name": "Teun van Gils"
    },
    {
      "name": "Rowan P. Sommers"
    },
    {
      "name": "Markus Ostarek"
    },
    {
      "name": "Peter Hagoort"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/47ymg5kyxa208.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2608.29189",
  "fulltext_url": null,
  "id": "47ymg5kyxa208",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2608.29189",
  "language": null,
  "licence": "CC-BY-SA-4.0",
  "licence_label": "CC BY-SA 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-sa/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.AI"
    ],
    [
      "arxiv",
      "cs.CL"
    ],
    [
      "arxiv",
      "cs.SC"
    ],
    [
      "arxiv",
      "q-bio.NC"
    ],
    [
      "openalex",
      "1702|Cognitive Computing and Networks"
    ]
  ],
  "openalex": "W7204943231",
  "pdf_url": "https://arxiv.org/pdf/2608.29189",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-29",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/47ymg5kyxa208.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:49Z",
      "native_id": "2608.29189",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2608.29189"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.NC",
      "subfield": "neuroscience"
    }
  ],
  "title": "Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Symbolic Computation in the Brain",
  "title_text": "Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Symbolic Computation in the Brain",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:49Z",
  "url": "https://research.draconitic.com/paper/47ymg5kyxa208",
  "venue": "arXiv",
  "versions": []
}