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SUMMARY:[ONLINE] From rats to robots: closing the sensorimotor loop---ALD lecture by Mitra Hartmann
DESCRIPTION:A talk by Mitra Hartmann\, Professor of Biomedical and Mechanical Engineering at Northwestern University \nAbstract: Ada Lovelace is best known for her notes on the Analytical Engine of Charles Babbage. The engine is a machine that uses movement to compute the answers to mathematical equations. Now imagine a machine whose movements help compute its own next movement. Animals can be thought of as this type of machine. The nervous system of an animal takes as input the current sensory and motor state\, and uses that information to compute the commands to be sent to the muscles to make the next movement. Viewed in this way\, it becomes clear that the physical body of an animal – including the geometry and mechanics of its muscles and sensors – directly drives the evolution of its nervous system\, and vice versa. An animal’s sensory and motor structures coevolve with its nervous system to enable it to survive within its particular ethological niche. In this talk I will first discuss the characteristics of the brain that make it so difficult to study. Why is it taking scientists so long to understand neural function? What’s the hold up? I will then describe our laboratory’s model system of choice: the rat vibrissal (whisker) system. We are using approaches in robotics\, simulation\, and neurophysiology to begin to understand the connections between sensing\, movement\, and perception. \nMitra Hartmann received a Bachelor of Science in Applied and Engineering Physics from Cornell University\, a PhD in Integrative Neuroscience from the California Institute of Technology\, and worked as a post-doctoral scholar at the Jet Propulsion Laboratory in the Bio-Inspired Technology and Systems group. Dr. Hartmann is currently a Charles Deering McCormick Professor of Teaching Excellence at Northwestern University with a 50-50 joint appointment between the departments of Biomedical Engineering and Mechanical Engineering. She is the Director of Graduate Studies for the Biomedical Engineering department\, and an elected fellow of the American Institute for Medical and Biological Engineering (AIMBE).
URL:https://findingada.com/event/online-from-rats-to-robots-closing-the-sensorimotor-loop-ald-lecture-by-mitra-hartmann/
LOCATION:Concordia University\, 1455 Boulevard de Maisonneuve O\, Montréal\, Quebec\, H3G 1M8\, Canada
CATEGORIES:Events 2021
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SUMMARY:[ONLINE] Concordia University Celebrates Ada Lovelace Day 2020
DESCRIPTION:The Centre for Cognitive Science and the INDI Program at Concordia University\, present our first celebration of Ada Lovelace Day.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLea Popovic (Concordia: Math and Stats): A Brief Introduction to Ada Lovelace\nInvited Speaker: David Barner (UC San Diego: Psychology\, Linguistics\, Math and Science Education): Mechanical Paths to Mathematical Understanding: A celebration of Ada Lovelace\n\n\nPlease register for live event on Zoom and YouTube (you will receive a link before the event)\nQuarantine Bonus: Barner’s EdX Parenting course\n\n\n\n\n\n\n\nAbstract: In her commentary on the “Analytical Engine” created by her friend and colleague Charles Babbage\, Ada Lovelace\, sometimes called the world’s first computer programmer\, distinguished between the mechanical and rational labors of mathematics. Also\, Lovelace was the first to recognize the power of computing devices to transcend mathematical calculations\, to support reasoning about any domain of human experience. Lovelace’s discourse poses the question of how clearly we can distinguish between mechanical and rational processes. Also\, it raises the question of how each originates in the human mind\, and what causal relations might exist between purely mechanical computations and moments of rational insight that lead humans to derive axioms\, notice analogies between different representational formats (e.g.\, geometry and algebra)\, or to create new representational formats altogether. In this talk\, I argue that the mechanical labors of the mind – particularly in the case of mathematics – allow humans to discover rational insights that otherwise would not be available to them\, and that our most profound mathematical discoveries hinge upon learning from\, and about\, the mechanical rules of thought. To make this case\, I present evidence from children’s acquisition of counting procedures\, and how this learning fuels their discovery that numbers\, space\, and time are infinite. I also argue that the logic that underpins these computations is fundamentally linguistic\, and depends on the computational engine provided by human natural language.
URL:https://findingada.com/event/online-concordia-university-celebrates-ada-lovelace-day-2020/
LOCATION:Concordia University\, 1455 Boulevard de Maisonneuve O\, Montréal\, Quebec\, H3G 1M8\, Canada
CATEGORIES:Events 2020
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