{"id":11019,"date":"2017-08-18T10:55:34","date_gmt":"2017-08-18T15:55:34","guid":{"rendered":"http:\/\/huewhite.com\/umb\/?p=11019"},"modified":"2017-08-18T10:55:34","modified_gmt":"2017-08-18T15:55:34","slug":"word-of-the-day-203","status":"publish","type":"post","link":"https:\/\/huewhite.com\/umb\/2017\/08\/18\/word-of-the-day-203\/","title":{"rendered":"Word Of The Day"},"content":{"rendered":"<p><em>Neuromorphic computing<\/em>:<\/p>\n<blockquote><p><b>Neuromorphic engineering<\/b>, also known as\u00a0<b>neuromorphic computing<\/b>,<sup id=\"cite_ref-1\" class=\"reference\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Neuromorphic_engineering#cite_note-1\">[1]<\/a><\/sup><sup id=\"cite_ref-2\" class=\"reference\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Neuromorphic_engineering#cite_note-2\">[2]<\/a><\/sup><sup id=\"cite_ref-humanbrainproject_3-0\" class=\"reference\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Neuromorphic_engineering#cite_note-humanbrainproject-3\">[3]<\/a><\/sup>\u00a0is a concept developed by\u00a0<a title=\"Carver Mead\" href=\"https:\/\/en.wikipedia.org\/wiki\/Carver_Mead\">Carver Mead<\/a>,<sup id=\"cite_ref-4\" class=\"reference\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Neuromorphic_engineering#cite_note-4\">[4]<\/a><\/sup>\u00a0in the late 1980s, describing the use of\u00a0<a title=\"Very-large-scale integration\" href=\"https:\/\/en.wikipedia.org\/wiki\/Very-large-scale_integration\">very-large-scale integration<\/a>\u00a0(VLSI) systems containing electronic\u00a0<a class=\"mw-redirect\" title=\"Analog circuit\" href=\"https:\/\/en.wikipedia.org\/wiki\/Analog_circuit\">analog circuits<\/a>\u00a0to mimic neuro-biological architectures present in the nervous system.<sup id=\"cite_ref-5\" class=\"reference\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Neuromorphic_engineering#cite_note-5\">[5]<\/a><\/sup>\u00a0In recent times the term\u00a0<i>neuromorphic<\/i>\u00a0has been used to describe analog, digital, mixed-mode analog\/digital VLSI, and software systems that implement models of\u00a0<a class=\"mw-redirect\" title=\"Neural system\" href=\"https:\/\/en.wikipedia.org\/wiki\/Neural_system\">neural systems<\/a>\u00a0(for\u00a0<a title=\"Perception\" href=\"https:\/\/en.wikipedia.org\/wiki\/Perception\">perception<\/a>,\u00a0<a title=\"Motor control\" href=\"https:\/\/en.wikipedia.org\/wiki\/Motor_control\">motor control<\/a>, or\u00a0<a title=\"Multisensory integration\" href=\"https:\/\/en.wikipedia.org\/wiki\/Multisensory_integration\">multisensory integration<\/a>). The implementation of neuromorphic computing on the hardware level can be realized by oxide-based\u00a0<a class=\"mw-redirect\" title=\"Memristors\" href=\"https:\/\/en.wikipedia.org\/wiki\/Memristors\">memristors<\/a>,<sup id=\"cite_ref-Maan_1.E2.80.9313_6-0\" class=\"reference\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Neuromorphic_engineering#cite_note-Maan_1.E2.80.9313-6\">[6]<\/a><\/sup>\u00a0<a class=\"new\" title=\"Threshold switch (page does not exist)\" href=\"https:\/\/en.wikipedia.org\/w\/index.php?title=Threshold_switch&amp;action=edit&amp;redlink=1\">threshold switches<\/a>, and\u00a0<a title=\"Transistor\" href=\"https:\/\/en.wikipedia.org\/wiki\/Transistor\">transistors<\/a>. <em>[<a href=\"https:\/\/en.wikipedia.org\/wiki\/Neuromorphic_engineering\" target=\"_blank\" rel=\"noopener\"><strong>Wikipedia<\/strong><\/a>]<\/em><sup id=\"cite_ref-7\" class=\"reference\"><\/sup><\/p><\/blockquote>\n<p>Noted in &#8220;<a href=\"https:\/\/www.newscientist.com\/article\/mg23531370-600-brain-box-multitasking-chips-that-can-match-the-human-mind\/\" target=\"_blank\" rel=\"noopener\"><em>Think on this<\/em><\/a>,&#8221;\u00a0Liesbeth Venema, <em><strong>NewScientist<\/strong><\/em> (5 August 2017, paywall):<\/p>\n<blockquote><p>But soon real action was happening on the neuromorphic computing scene. Shortly after Williams\u2019s discovery,\u00a0<a href=\"http:\/\/www-personal.umich.edu\/~wluee\/\">Wei Lu<\/a>, an engineer at the University of Michigan, took the crucial step and showed that memristors can act as plastic synapses. He used a device made of several thin layers of silicon, one of them with a smattering of silver ions, and showed this can mimic that second feature of the brain. Lu later showed that memristors can simulate the third ingredient too; the memristor synapse could be strengthened or weakened\u00a0<a href=\"https:\/\/www.newscientist.com\/article\/mg20527515-900-electronics-missing-link-brings-neural-computing-closer\/\">depending on the exact timing<\/a>\u00a0of applied electrical spikes.<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Neuromorphic computing: Neuromorphic engineering, also known as\u00a0neuromorphic computing,[1][2][3]\u00a0is a concept developed by\u00a0Carver Mead,[4]\u00a0in the late 1980s, describing the use of\u00a0very-large-scale integration\u00a0(VLSI) systems containing electronic\u00a0analog circuits\u00a0to mimic neuro-biological architectures present in the nervous system.[5]\u00a0In recent times the term\u00a0neuromorphic\u00a0has been used to describe analog, digital, mixed-mode analog\/digital VLSI, and software systems that \u2026 <a class=\"continue-reading-link\" href=\"https:\/\/huewhite.com\/umb\/2017\/08\/18\/word-of-the-day-203\/\"> Continue reading <span class=\"meta-nav\">&rarr; <\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11019","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts\/11019","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/comments?post=11019"}],"version-history":[{"count":2,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts\/11019\/revisions"}],"predecessor-version":[{"id":11039,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/posts\/11019\/revisions\/11039"}],"wp:attachment":[{"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/media?parent=11019"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/categories?post=11019"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/huewhite.com\/umb\/wp-json\/wp\/v2\/tags?post=11019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}