{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","title":"数字经济：内涵与路径","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787521745023","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","id":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","uuid":"07d591c2-0f4c-45ac-a1d7-103c4807db8f","title":"数字经济：内涵与路径","normalized_title":"数字经济内涵与路径","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787521745023","isbns":["9787521745023"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":361,"navigation_url":"https://workshop.closeclaw.top/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f","title_url":"https://workshop.closeclaw.top/ai/title/%E6%95%B0%E5%AD%97%E7%BB%8F%E6%B5%8E%EF%BC%9A%E5%86%85%E6%B6%B5%E4%B8%8E%E8%B7%AF%E5%BE%84","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/07d591c2-0f4c-45ac-a1d7-103c4807db8f","page_url":"https://workshop.closeclaw.top/api/ai/books/07d591c2-0f4c-45ac-a1d7-103c4807db8f/page","search_url":"https://workshop.closeclaw.top/api/ai/books/07d591c2-0f4c-45ac-a1d7-103c4807db8f/search"},"page":{"printed_page":103,"pdf_page":102,"physical_index":102,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"04c131cc55ac6317d6e064d81a1a6a75302e48e98400c9a2e774c5122f0b33d3"},"chapter":"第三章","content":"3.脑科学与神经计算的应用\n\n在数字经济领域，脑科学和类脑计算的一个重要应用是类脑计算芯片。\n\n类脑计算芯片广义上指的是参考人脑神经元结构和人脑感知认知方式设计的芯片，分为两大类：一类是侧重于参照人脑神经元模型及其组织结构来设计的芯片，称为神经形态芯片；另一类是侧重于参照人脑感知认知的计算模型，优化芯片结构来高效支持人工神经网络或深度神经网络等成熟认知算法的芯片。狭义上，类脑芯片一般指神经形态芯片，也就是类脑计算硬件。<sup>35</sup>\n\n类脑计算芯片近年来引起国际社会广泛重视和大量投入，曼彻斯特大学的SpiNNaker芯片、IBM的TrueNorth芯片、海德堡大学的BrainScaleS芯片、斯坦福大学的Neurogrid芯片、Intel（英特尔）的Loihi芯片，以及清华大学的Tianjic天机芯片是现阶段六个主要的类脑计算方案代表。表3-3为国内外主流类脑计算芯片技术方案分类。\n\n表3-3 类脑计算芯片技术方案分类 <sup>36</sup>\n\n103","previous_page":102,"next_page":104}