BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Denver BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230529T211337Z UID:B00767B1-0719-4417-A7EE-9B36D09F0E79 DTSTART;TZID=America/Denver:20230519T180000 DTEND;TZID=America/Denver:20230519T190000 DESCRIPTION:Register: https://www.eventbrite.com/e/circuits-challenges-in-a -high-resolution-artificial-retina-tickets-630361065917?aff=ebdssbdestsear ch\n\nEvent information: https://site.ieee.org/scv-cas/\n\nAbstract: Brain -machine interfaces (BMIs) of the future will be used to treat diverse neu rological disorders and augment human capabilities. However\, to realize t his futuristic promise will require a major leap forward in how electronic devices interact with the nervous system. Current BMIs provide coarse com munication with the target neural circuitry because they fail to respect i ts cellular and cell-type specificity. Instead\, they indiscriminately act ivate or record many cells at the same time and provide only partial resto ration of lost abilities. A future BMI that may pave the path forward is a n artificial retina -- a device that can restore vision to people blinded by retinal degeneration. Because the retina is relatively well understood and easily accessible\, it is an ideal neural circuit in which to develop a BMI that can approach or exceed the performance of the biological circui try. I will summarize the basic neuroscience of vision\, identify the requ irements for an effective retinal interface\, and describe some of the nec essary circuits and systems and their challenges.\n\nBio: Dante Muratore r eceived the B.Sc. and M.Sc. degrees from Politecnico of Turin in 2012 and 2013\, respectively. He received the Ph.D. degree from the University of P avia\, Italy in 2017 working on integrated sensor interfaces. From 2015 to 2016 he was a Visiting Scholar at the Massachusetts Institute of Technolo gy. From 2016 to 2020 he was a Postdoctoral Fellow at Stanford University\ , USA. As of October 2020\, he is an assistant professor at Delft Universi ty of Technology. His research focuses on investigating hardware and syste m solutions for high-bandwidth brain-machine interfaces that can interact with the nervous system at natural resolution. Currently\, he is developin g neural interfaces to treat blindness\, depression\, and epilepsy.\n\nAge nda: \n5:30pm to 6pm --> Welcome\, Registration\, and Refreshments\n\n6pm to 7pm --> Seminar\n\nRoom: 201\, Bldg: Cupertino Library\, 10800 Torre Av enue Cupertino\, CA 95014\, Cupertino\, California\, United States\, 95014 LOCATION:Room: 201\, Bldg: Cupertino Library\, 10800 Torre Avenue Cupertino \, CA 95014\, Cupertino\, California\, United States\, 95014 ORGANIZER:nandish@ieee.org SEQUENCE:14 SUMMARY:Circuits Challenges in a High-Resolution Artificial Retina URL;VALUE=URI:https://events.vtools.ieee.org/m/360754 X-ALT-DESC:Description: <br /><p>Register: https://www.eventbrite.com/e/cir cuits-challenges-in-a-high-resolution-artificial-retina-tickets-6303610659 17?aff=ebdssbdestsearch</p>\n<p>Event information: https://site.ieee.org/s cv-cas/</p>\n<p>Abstract: Brain-machine interfaces (BMIs) of the future wi ll be used to treat diverse neurological disorders and augment human capab ilities. However\, to realize this futuristic promise will require a major leap forward in how electronic devices interact with the nervous system. Current BMIs provide coarse communication with the target neural circuitry because they fail to respect its cellular and cell-type specificity. Inst ead\, they indiscriminately activate or record many cells at the same time and provide only partial restoration of lost abilities. A future BMI that may pave the path forward is an artificial retina -- a device that can re store vision to people blinded by retinal degeneration. Because the retina is relatively well understood and easily accessible\, it is an ideal neur al circuit in which to develop a BMI that can approach or exceed the perfo rmance of the biological circuitry. I will summarize the basic neuroscienc e of vision\, identify the requirements for an effective retinal interface \, and describe some of the necessary circuits and systems and their chall enges.</p>\n<p>Bio: Dante Muratore received the B.Sc. and M.Sc. degrees fr om Politecnico of Turin in 2012 and 2013\, respectively. He received the P h.D. degree from the University of Pavia\, Italy in 2017 working on integr ated sensor interfaces. From 2015 to 2016 he was a Visiting Scholar at the Massachusetts Institute of Technology. From 2016 to 2020 he was a Postdoc toral Fellow at Stanford University\, USA. As of October 2020\, he is an a ssistant professor at Delft University of Technology. His research focuses on investigating hardware and system solutions for high-bandwidth brain-m achine interfaces that can interact with the nervous system at natural res olution. Currently\, he is developing neural interfaces to treat blindness \, depression\, and epilepsy.</p><br /><br />Agenda: <br /><p>5:30pm to 6p m --&gt\; Welcome\, Registration\, and Refreshments</p>\n<p>6pm to 7pm --& gt\; Seminar</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR