{
  "id": 4692,
  "url": "https://arxiv.org/abs/2605.08564v1",
  "title": "Biological Plausibility and Representational Alignment of Feedback Alignment in Convolutional Networks",
  "summary": "The feedback alignment (FA) algorithm offers a biologically plausible alternative to backpropagation (BP) for training neural networks yet notably fails to scale to convolutional architectures. Modifications have been proposed to address this limitation, but at questionable cost to biological plausibility. In this paper, we evaluate five learning algorithms including modified FA and standard BP, applied to the same convolutional architecture with the CIFAR-10 dataset. We provide a tripartite com",
  "authors": "Jake Lance, Larry Kieu",
  "category": "research",
  "topics": "safety-alignment,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-08T23:54:48.000Z",
  "fetched_at": "2026-07-14T16:31:12.744Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4692",
  "original_url": "https://arxiv.org/abs/2605.08564v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}