BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20250330T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241104T150018Z UID:CAE2FD6D-B1CA-4457-A8CB-27102ED6306C DTSTART;TZID=Europe/London:20241029T140000 DTEND;TZID=Europe/London:20241029T160000 DESCRIPTION:New enabling technologies for real-time\, high-fidelity sensing and manipulation of brain neurochemistry at microscopic scales can provid e the framework for ultimately developing new neuromodulation devices that impose therapeutic neurochemical profiles or maintain optimal neurochemic al levels in disease states via real-time feedback control.\n\nThis tutori al will first present the fundamentals of fast-scan cyclic voltammetry (FS CV) at a carbon-fiber microelectrode (CFM) as the preferred method for pro bing brain neurochemical dynamics with high temporal\, spatial\, and chemi cal resolution. The tutorial will next focus on CMOS-integrated microsyste ms that combine FSCV-based recording\, embedded signal processing\, and el ectrical stimulation on a single chip for high-fidelity manipulation of br ain neurochemistry. System-level solutions to handle stimulus artifacts al ong with machine learning (ML)-assisted chemometrics algorithms to resolve the target analyte from common interferents in vivo will be discussed. Tw o such CMOS microsystems realizing a dopamine temporal pattern generator a nd a dopamine “neurochemostat” will be showcased and validated in vivo in a rodent model.\n\nThe tutorial will conclude with a discussion of new directions in neurochemical monitoring such as compressive sensing (CS) f or real-time neurochemical data compression and high-fidelity reconstructi on as well as circuit techniques for in situ analog background current sub traction. These directions are envisioned to pave the way toward high-chan nel-count sensing of brain neurochemistry.\n\nSpeaker(s): Pedram\, \n\nRoo m: 807\, Bldg: Roberts building\, \, Barlow Room (Room 807)\, \, Malet Pla ce\, \, London \, England\, United Kingdom\, WC1E 7JE\, Virtual: https://e vents.vtools.ieee.org/m/438426 LOCATION:Room: 807\, Bldg: Roberts building\, \, Barlow Room (Room 807)\, \ , Malet Place\, \, London \, England\, United Kingdom\, WC1E 7JE\, Virtual : https://events.vtools.ieee.org/m/438426 ORGANIZER:a.demosthenous@ucl.ac.uk SEQUENCE:19 SUMMARY:High-Fidelity Sensing and Manipulation of Brain Neurochemistry URL;VALUE=URI:https://events.vtools.ieee.org/m/438426 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-bottom: 6. 0pt\; text-align: justify\; text-indent: 18.0pt\;"><span lang="EN-US" styl e="font-size: 12.0pt\; line-height: 107%\; font-family: 'Arial'\,sans-seri f\;">New enabling technologies for real-time\, high-fidelity sensing and m anipulation of brain neurochemistry at microscopic scales can provide the framework for ultimately developing new neuromodulation devices that impos e therapeutic neurochemical profiles or maintain optimal neurochemical lev els in disease states via real-time feedback control.</span></p>\n<p class ="MsoNormal" style="margin-bottom: 6.0pt\; text-align: justify\; text-inde nt: 18.0pt\;"><span lang="EN-US" style="font-size: 12.0pt\; line-height: 1 07%\; font-family: 'Arial'\,sans-serif\;">This tutorial will first present the fundamentals of fast-scan cyclic voltammetry (FSCV) at a carbon-fiber microelectrode (CFM) as the preferred method for probing brain neurochemi cal dynamics with high temporal\, spatial\, and chemical resolution. The t utorial will next focus on CMOS-integrated microsystems that combine FSCV- based recording\, embedded signal processing\, and electrical stimulation on a single chip for high-fidelity manipulation of brain neurochemistry. S ystem-level solutions to handle stimulus artifacts along with machine lear ning (ML)-assisted chemometrics algorithms to resolve the target analyte f rom common interferents <em style="mso-bidi-font-style: normal\;">in vivo< /em> will be discussed. Two such CMOS microsystems realizing a dopamine te mporal pattern generator and a dopamine &ldquo\;neurochemostat&rdquo\; wil l be showcased and validated <em style="mso-bidi-font-style: normal\;">in vivo</em> in a rodent model.</span></p>\n<p class="MsoNormal" style="margi n-bottom: 6.0pt\; text-align: justify\; text-indent: 18.0pt\;"><span lang= "EN-US" style="font-size: 12.0pt\; line-height: 107%\; font-family: 'Arial '\,sans-serif\;">The tutorial will conclude with a discussion of new direc tions in neurochemical monitoring such as compressive sensing (CS) for rea l-time neurochemical data compression and high-fidelity reconstruction as well as circuit techniques for <em style="mso-bidi-font-style: normal\;">i n situ</em> analog background current subtraction. These directions are en visioned to pave the way toward high-channel-count sensing of brain neuroc hemistry.</span></p> END:VEVENT END:VCALENDAR