{"ID":2833740,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.11843","arxiv_id":"2512.11843","title":"Spiking Manifesto","abstract":"Practically everything computers do is better, faster, and more power-efficient than the brain. For example, a calculator performs numerical computations more energy-efficiently than any human. Yet modern AI models are a thousand times less efficient than the brain. These models rely on larger and larger artificial neural networks (ANNs) to boost their encoding capacity, requiring GPUs to perform large-scale matrix multiplications. In contrast, the brain's spiking neural networks (SNNs) exhibit factorially explosive encoding capacity and compute through the polychronization of spikes rather than explicit matrix-vector products, resulting in lower energy requirements. This manifesto proposes a paradigm for framing popular AI models in terms of spiking networks and polychronization, and for interpreting spiking activity as nature's way of implementing look-up tables. This suggests a path toward converting AI models into a novel class of architectures with much smaller size yet combinatorially large encoding capacity, offering the promise of a thousandfold improvement in performance. Code is available at https://github.com/izhikevich/SNN","short_abstract":"Practically everything computers do is better, faster, and more power-efficient than the brain. For example, a calculator performs numerical computations more energy-efficiently than any human. Yet modern AI models are a thousand times less efficient than the brain. These models rely on larger and larger artificial neu...","url_abs":"https://arxiv.org/abs/2512.11843","url_pdf":"https://arxiv.org/pdf/2512.11843v2","authors":"[\"Eugene Izhikevich\"]","published":"2025-12-03T23:44:02Z","proceeding":"cs.NE","tasks":"[\"cs.NE\",\"cs.AI\",\"cs.AR\",\"cs.LG\"]","methods":"[]","has_code":false,"code_links":[{"ID":606348,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2833740,"paper_url":"https://arxiv.org/abs/2512.11843","paper_title":"Spiking Manifesto","repo_url":"https://github.com/izhikevich/SNN","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}