{"id":196,"date":"2022-06-18T14:13:06","date_gmt":"2022-06-18T14:13:06","guid":{"rendered":"https:\/\/neuromorphicrobotics.com\/?p=196"},"modified":"2025-06-30T09:19:14","modified_gmt":"2025-06-30T09:19:14","slug":"how-to-implement-neuromorphic-object-localization-using-resistive-memories-and-ultrasonic-transducers","status":"publish","type":"post","link":"https:\/\/braininspiredrobotics.com\/?p=196","title":{"rendered":"How to implement neuromorphic object localization using resistive memories and ultrasonic transducers?"},"content":{"rendered":"<p style=\"text-align: justify;\">Filippo Moro, Emmanuel Hardy, Bruno Fain, Thomas Dalgaty, Paul Cl\u00e9men\u00e7on, Alessio De Pr\u00e0, Eduardo Esmanhotto, Niccol\u00f2 Castellani, Fran\u00e7ois Blard, Fran\u00e7ois Gardien, Thomas Mesquida, Fran\u00e7ois Rummens, David Esseni, J\u00e9r\u00f4me Casas, Giacomo Indiveri, Melika Payvand &amp; Elisa Vianello. <a href=\"https:\/\/www.nature.com\/articles\/s41467-022-31157-y\"><strong>Neuromorphic object localization using resistive memories and ultrasonic transducers<\/strong><\/a>. Nat Commun 13, 3506 (2022). https:\/\/doi.org\/10.1038\/s41467-022-31157-y<\/p>\n<p style=\"text-align: justify;\">Abstract<br \/>\n&#8220;<strong><span style=\"color: #ff0000;\">Real-world sensory-processing applications require compact, low-latency, and low-power computing systems<\/span><\/strong>. Enabled by their in-memory event-driven computing abilities, hybrid memristive-Complementary Metal-Oxide Semiconductor neuromorphic architectures provide an ideal hardware substrate for such tasks. <strong><span style=\"color: #ff0000;\">To demonstrate the full potential of such systems, we propose and experimentally demonstrate an end-to-end sensory processing solution for a real-world object localization application.<\/span><\/strong> Drawing inspiration from the barn owl\u2019s neuroanatomy, <strong><span style=\"color: #ff0000;\">we developed a bio-inspired, event-driven object localization system that couples state-of-the-art piezoelectric micromachined ultrasound transducer sensors to a neuromorphic resistive memories-based computational map<\/span><\/strong>. We present measurement results from the fabricated system comprising resistive memories-based coincidence detectors, delay line circuits, and a full-custom ultrasound sensor. We use these experimental results to calibrate our system-level simulations. These simulations are then used to estimate the angular resolution and energy efficiency of the object localization model. <strong><span style=\"color: #ff0000;\">The results reveal the potential of our approach, evaluated in orders of magnitude greater energy efficiency than a microcontroller performing the same task<\/span><\/strong>.&#8221;<\/p>\n<p style=\"text-align: justify;\">Filippo Moro, Emmanuel Hardy, Bruno Fain, Thomas Dalgaty, Paul Cl\u00e9men\u00e7on, Alessio De Pr\u00e0, Eduardo Esmanhotto, Niccol\u00f2 Castellani, Fran\u00e7ois Blard, Fran\u00e7ois Gardien, Thomas Mesquida, Fran\u00e7ois Rummens, David Esseni, J\u00e9r\u00f4me Casas, Giacomo Indiveri, Melika Payvand &amp; Elisa Vianello. <a href=\"https:\/\/www.nature.com\/articles\/s41467-022-31157-y\"><strong>Neuromorphic object localization using resistive memories and ultrasonic transducers<\/strong><\/a>. Nat Commun 13, 3506 (2022). https:\/\/doi.org\/10.1038\/s41467-022-31157-y<\/p>\n<p style=\"text-align: justify;\">\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Filippo Moro, Emmanuel Hardy, Bruno Fain, Thomas Dalgaty, Paul Cl\u00e9men\u00e7on, Alessio De Pr\u00e0, Eduardo Esmanhotto, Niccol\u00f2 Castellani, Fran\u00e7ois Blard, Fran\u00e7ois Gardien, Thomas Mesquida, Fran\u00e7ois Rummens, David Esseni, J\u00e9r\u00f4me Casas, Giacomo Indiveri, Melika Payvand &amp; Elisa Vianello. Neuromorphic object localization using resistive memories and ultrasonic transducers. Nat Commun 13, 3506 (2022). https:\/\/doi.org\/10.1038\/s41467-022-31157-y Abstract &#8220;Real-world sensory-processing applications [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,5,4],"tags":[26,27,28],"class_list":["post-196","post","type-post","status-publish","format-standard","hentry","category-neuromorphic-application","category-neuromorphic-computing","category-neuromorphic-sensing","tag-neuromorphic-object-localization","tag-resistive-memories","tag-ultrasonic-transducers"],"_links":{"self":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts\/196","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=196"}],"version-history":[{"count":1,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts\/196\/revisions"}],"predecessor-version":[{"id":197,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=\/wp\/v2\/posts\/196\/revisions\/197"}],"wp:attachment":[{"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspiredrobotics.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}