Dec 18 - DC area social for Computational Intelligence and related topics
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* Glenn Becker
Dec 8, 2010, 9:42:27 PM12/8/10
to The ALISA Community
The Computational Intelligence, Engineering Medicine & Biology,
Computer, Social Implications of Technology, Robotics & Automation,
and Communication Societies extend an invitation for you to attend and
participate at the Saturday, Dec 18, 2010 holiday social and society
2011 elections meeting. Mr. Richard Hill who recently established the
Washington DC/NOVA Computational Intelligence Society will kick off
the event by presenting “Spatiotemporal Dynamics in Modeling Early
Sensorimotor Intelligence.“
The presentation commences in the Auditorium A03, Building 41 at the
University of District of Columbia (UDC) 4200 Connecticut Ave., NW
Washington DC, 20008.at 10:30 AM followed by society executive
committee elections, lunch, and social networking.
Abstract:
Modeling the mechanisms of the human brain continues to challenge
modern science. The hypothesis that the earliest learned habits are
driven by innate non-objective preferences and are united with innate
sensorimotor habits drives the analysis of affect-driven neural
networks. This analytical framework suggests that sensorimotor
learning and memory is the premise behind human intelligence and the
primary stage for the development of internal representations of
objects and events in cognitive neuroscience. The agent-based
Spatiotemporal Dynamics in Modeling Early Sensorimotor Intelligence
presented is the basis of Mr. Hill’s master thesis work in which he
will demonstrate how learned associations with the ability to override
innate reflexes and produce learned voluntary motions.
Speaker Biography:
Mr. Richard Hill joined the National Science Foundation (NSF) staff in
2009 as an Analyst where he mines historical data sets with respect to
NSF policies. Mr. Hill plans to complete his Masters in Computational
Neuroscience from the University of Idaho (UI). UI campus in Moscow,
Idaho hosts the Microelectronic Research and Communications Institute
(MRCI), which houses the Center for Secure & Dependable Systems
(CSDS), Center for Intelligent Systems Research (CISR) and
Laboratories for Computational Neuroscience & Technology Research
(LCNTR). In addition, he applies his professional experience in
distributed embedded programming by volunteering with the For
Inspiration and Recognition of Science and Technology (FIRST) High
School Robotic teams in the Washington DC area.
Directions: UDC is located at the Van Ness-UDC Metro station (Red
line). See www.udc.edu/campus_map.htm for driving directions.
Campus garage parking is Free on Saturday.
RSVP: Debi Siering at Sie...@ieee.org by Thursday December 16, 2010.
Please indicate your society affiliation and the executive committee
position in which you would like to volunteer for the upcoming year.
(See attachment for Executive Committee roles and responsibilities
description)
Computer, Social Implications of Technology, Robotics & Automation,
and Communication Societies extend an invitation for you to attend and
participate at the Saturday, Dec 18, 2010 holiday social and society
2011 elections meeting. Mr. Richard Hill who recently established the
Washington DC/NOVA Computational Intelligence Society will kick off
the event by presenting “Spatiotemporal Dynamics in Modeling Early
Sensorimotor Intelligence.“
The presentation commences in the Auditorium A03, Building 41 at the
University of District of Columbia (UDC) 4200 Connecticut Ave., NW
Washington DC, 20008.at 10:30 AM followed by society executive
committee elections, lunch, and social networking.
Abstract:
Modeling the mechanisms of the human brain continues to challenge
modern science. The hypothesis that the earliest learned habits are
driven by innate non-objective preferences and are united with innate
sensorimotor habits drives the analysis of affect-driven neural
networks. This analytical framework suggests that sensorimotor
learning and memory is the premise behind human intelligence and the
primary stage for the development of internal representations of
objects and events in cognitive neuroscience. The agent-based
Spatiotemporal Dynamics in Modeling Early Sensorimotor Intelligence
presented is the basis of Mr. Hill’s master thesis work in which he
will demonstrate how learned associations with the ability to override
innate reflexes and produce learned voluntary motions.
Speaker Biography:
Mr. Richard Hill joined the National Science Foundation (NSF) staff in
2009 as an Analyst where he mines historical data sets with respect to
NSF policies. Mr. Hill plans to complete his Masters in Computational
Neuroscience from the University of Idaho (UI). UI campus in Moscow,
Idaho hosts the Microelectronic Research and Communications Institute
(MRCI), which houses the Center for Secure & Dependable Systems
(CSDS), Center for Intelligent Systems Research (CISR) and
Laboratories for Computational Neuroscience & Technology Research
(LCNTR). In addition, he applies his professional experience in
distributed embedded programming by volunteering with the For
Inspiration and Recognition of Science and Technology (FIRST) High
School Robotic teams in the Washington DC area.
Directions: UDC is located at the Van Ness-UDC Metro station (Red
line). See www.udc.edu/campus_map.htm for driving directions.
Campus garage parking is Free on Saturday.
RSVP: Debi Siering at Sie...@ieee.org by Thursday December 16, 2010.
Please indicate your society affiliation and the executive committee
position in which you would like to volunteer for the upcoming year.
(See attachment for Executive Committee roles and responsibilities
description)
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