Conference paper Open Access

Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches

Gabriele Lagani; Fabrizio Falchi; Claudio Gennaro; Giuseppe Amato


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>We explore competitive Hebbian learning strategies to train feature detectors in Convolutional Neural Networks (CNNs), without supervision. We consider variants of the Winner-Takes-All (WTA) strategy explored in previous works, i.e. k-WTA, e-soft-WTA and p-soft-WTA, performing experiments on different object recognition datasets. Results suggest that the Hebbian approaches are effective to train early feature extraction layers, or to re-train higher layers of a pre-trained network, with soft competition generally performing better than other Hebbian approaches explored in this work. Our findings encourage a path of cooperation between neuroscience and computer science towards a deeper investigation of biologically inspired learning principles.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Pisa", 
      "@type": "Person", 
      "name": "Gabriele Lagani"
    }, 
    {
      "affiliation": "CNR-ISTI", 
      "@type": "Person", 
      "name": "Fabrizio Falchi"
    }, 
    {
      "affiliation": "CNR-ISTI", 
      "@type": "Person", 
      "name": "Claudio Gennaro"
    }, 
    {
      "affiliation": "CNR-ISTI", 
      "@type": "Person", 
      "name": "Giuseppe Amato"
    }
  ], 
  "headline": "Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2022-02-02", 
  "url": "https://zenodo.org/record/6367135", 
  "keywords": [
    "Neural networks, Machine learning, Hebbian learning Competitive learning, Computer vision,Biologically inspired"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1007/978-3-030-95467-3_2", 
  "@id": "https://doi.org/10.1007/978-3-030-95467-3_2", 
  "@type": "ScholarlyArticle", 
  "name": "Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches"
}
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