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<p>This paper examines the potential of memory augmentation devices and neuromorphic computing systems as empirical supports for the Extended Mind Thesis (EMT). By integrating recent advancements in brain-computer interfaces (BCIs) and memory-augmented neural networks (MANNs) with a detailed case study in neuromorphic computing, we illustrate how brain-like external memory systems can functionally complement and extend biological cognitive processes. Our analysis utilizes a three-stage framework—encoding, storage, and retrieval—to critically assess the dynamic interplay between internal neural mechanisms and engineered memory modules. We also address a potential objection to extended memory questioning whether the extension pertains to the memory process or relearning process. Ultimately, this study not only refines our theoretical understanding of the mind-technology interfaces but also lays the groundwork for practical applications in cognitive enhancement, neurorehabilitation, and next-generation artificial intelligence.</p>

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Neuromorphic Computing and Extended Memory

  • 期刊论文

  • 发表日期：

    2026年2月7日

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  • Mirko Farina,
  • Xiaojun Ding,
  • Andrea Lavazza,
  • Changsheng Lai

摘要

This paper examines the potential of memory augmentation devices and neuromorphic computing systems as empirical supports for the Extended Mind Thesis (EMT). By integrating recent advancements in brain-computer interfaces (BCIs) and memory-augmented neural networks (MANNs) with a detailed case study in neuromorphic computing, we illustrate how brain-like external memory systems can functionally complement and extend biological cognitive processes. Our analysis utilizes a three-stage framework—encoding, storage, and retrieval—to critically assess the dynamic interplay between internal neural mechanisms and engineered memory modules. We also address a potential objection to extended memory questioning whether the extension pertains to the memory process or relearning process. Ultimately, this study not only refines our theoretical understanding of the mind-technology interfaces but also lays the groundwork for practical applications in cognitive enhancement, neurorehabilitation, and next-generation artificial intelligence.