{
  "abstract": "The motor cortex orchestrates a rich and flexible repertoire of network dynamics for rhythmic and goal-directed movements. Computational studies have begun to illuminate the mechanistic origins of this repertoire, but a comprehensive model that can explain the emergence of both transient and self-sustained dynamics is still missing. Here, we show that three simple ingredients: Dalean connectivity, stability, and nonlinear neural responses, suffice to reverse-engineer networks that produce transient, steady-state, and self-sustained periodic activity. A single dynamical principle underlies this repertoire: the interaction of non-normal amplification, inherent to Dalean networks, with neuronal nonlinearity, so to ignite and sustain multi-stable, controllable dynamics. Our approach yields entire families of connectivity matrices that require no hand-tuning or learning of weights. Without fitting them to data, these networks reproduce the population-level signatures of motor cortex, implying that the richness of cortical dynamics need not be sculpted by learning, but may emerge from simple biological ingredients.",
  "abstract_shown": true,
  "affiliations": [
    "Institute of Science and Technology Austria (ISTA)"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "N. Condruz"
    },
    {
      "name": "I. Bulygin"
    },
    {
      "name": "C. Chintaluri"
    },
    {
      "name": "T. P. Vogels"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/cfe3g8nav9n89.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.14.751508",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.751508v1.full",
  "id": "cfe3g8nav9n89",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.751508v1",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "neuroscience"
    ],
    [
      "openalex",
      "2805|Neural dynamics and brain function"
    ]
  ],
  "openalex": "W7213955256",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.14.751508v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-14",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/cfe3g8nav9n89.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:30Z",
      "native_id": "10.64898/2026.09.14.751508",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.14.751508v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "Dale's law, stability and nonlinearity are sufficient constraints to ignite transient and self-sustained neural dynamics",
  "title_text": "Dale's law, stability and nonlinearity are sufficient constraints to ignite transient and self-sustained neural dynamics",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:30Z",
  "url": "https://research.draconitic.com/paper/cfe3g8nav9n89",
  "venue": "bioRxiv",
  "versions": []
}