BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221116T100000
DTEND;TZID=America/New_York:20221116T110000
DTSTAMP:20260405T121537
CREATED:20221103T143130Z
LAST-MODIFIED:20221103T143130Z
UID:7814-1668592800-1668596400@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Yasuo Kuniyoshi\, University of Tokyo\, "Behavior and Cognition Emerge and Develop From Embodiment - A Constructive Study of Human Fetus/Infant"
DESCRIPTION:This is a hybrid event with in-person attendance in Raisler Lounge (Towne 225) and virtual attendance via Zoom. This talk will NOT be recorded\, please make sure to arrive on time. \nABSTRACT\nIn this talk\, I will first show that physics of human-like body in action already provide certain information structure which can set the natural basis of categorization and meaning. \nThen\, I will show a principle of autonomous exploration that reveals the embodied information structure\, aka. body affordances. Coordinated motor patterns consistent with the embodiment emerge from multiple chaotic elements coupled through body-environment physics. \nIn humans\, the above principle may drive early motor development. And the resulting sensory-motor information can be captured by self-organizing neural circuits\, forming the basis of cognitive structures. \nIn order to investigate this hypothetical scenario\, we constructed a simulation model of a human fetus. It consists of a musculo-skeletal body\, whole body cutaneous receptors (tactile)\, uterus and amniotic fluid\, neuronal model of spine and medulla\, and a whole neocortex model with self-organizing neural network. \nWith very little “innate” functional neural circuits\, the model acquired various behavior patterns that comply with its embodiment\, and the neural model self organizes to capture the embodied information structure. It exhibits spontaneous motor development and sensory-motor map organization comparable to human data. Also\, by changing the model parameters\, we can simulate “atypical” development. \nOur series of experiments shows that sensory-motor experiences in the fetal period can be crucial to the formation of body representations and multi-modal sensory integration\, which are significantly affected under “preterm birth” conditions\, providing new insights about the developmental origins of social cognition and autism spectrum disorders.\nImplications for the next generation AI/robotics will also be discussed if time allows.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-yasuo-kuniyoshi-university-of-tokyo-behavior-and-cognition-emerge-and-develop-from-embodiment-a-constructive-study-of-human-fetus-infant/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
END:VCALENDAR