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DTSTAMP:20261108T051055Z
SUMMARY:Frontiers in Neuromorphic Computing
DESCRIPTION:<p style="text-align: center\;"><strong><span style="background
 -color: #ffff00\;">VIA ZOOM - REGISTER</span> <a href="https://nanoscience
 -imdea.zoom.us/webinar/register/WN_QcxCBa4PQzSJwzVT7ZHkaQ">HERE</a></stron
 g></p>\n<p style="text-align: left\;"><strong>Online Global Semianr series
 </strong></p>\n<p style="text-align: justify\;"><strong>Organised by Insti
 tuto Madrileño de Estudios Avanzados en Nanociencia (<a href="https://www
 .imdea.org/">IMDEA Nanociencia</a>)</strong></p>\n<p style="text-align: ju
 stify\;">Speakers:&nbsp\;<strong>Prof. Ivan K. Schuller</strong>&nbsp\;\, 
 University of California\, San Diego and&nbsp\;<strong>Javier del Valle\,<
 /strong>&nbsp\;University of Geneva</p>\n<p>Moderator: <strong>Prof. Rodol
 fo Miranda</strong>\, IMDEA Nanoscience Institute</p>\n<p style="text-alig
 n: justify\;"><strong>Abstract</strong>: Neuromorphic computing\, which mi
 mics the architecture and components of biological neural networks\, is an
  emerging technology which might overcome some of the challenges that trad
 itional computing is facing. In this talk\, we will show how resistive swi
 tching can be used to mimic the functionalities of the two builiding block
 s of a neural network: neuron and synapse. We will focus specially on the 
 resistive switching caused by the voltage-triggered insulator to metal tra
 nsition\, discussing aspects such as its underlying mechanism\, dynamics a
 nd its spatial distribution. We will also show some of our recent efforts 
 towards emulating neuronal behaviour using this phenomenology.</p>\n<p>&nb
 sp\;</p>\n<p>&nbsp\;</p>
DTSTART:20200615T163000
DTEND:20200615T215959
CATEGORIES:Congresses and Workshops
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