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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231116T180000
DTEND;TZID=Europe/Berlin:20231116T190000
DTSTAMP:20260429T155943
CREATED:20231103T152759Z
LAST-MODIFIED:20231103T152928Z
UID:10000264-1700157600-1700161200@www.neuropac.info
SUMMARY:Timoleon Moraitis @ ONM - Making Neuromorphic Computing Mainstream
DESCRIPTION:From the Open Neuromorphic website \nJoin us for a workshop with Timoleon Moraitis\, research group leader in neuromorphic computing\, at the interface of computational neuroscience with artificial intelligence.
URL:https://www.neuropac.info/event/timoleon-moraitis-onm-making-neuromorphic-computing-mainstream/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230926T180000
DTEND;TZID=Europe/Berlin:20230926T193000
DTSTAMP:20260429T155943
CREATED:20230925T101429Z
LAST-MODIFIED:20230925T101429Z
UID:10000246-1695751200-1695756600@www.neuropac.info
SUMMARY:Giulia D’Angelo: What’s catching your eye? The visual attention mechanism
DESCRIPTION:Abstract\nEvery agent\, whether animal or robotic\, needs to process its visual sensory input in an efficient way\, to allow understanding of\, and interaction with\, the environment. The process of filtering revelant information out of the continuous bombardment of complex sensory data is called selective attention. Visual attention is the result of the complex interplay between bottom-up and top-down mechanisms to perceptually organise and understand the scene. Giulia will describe how to approach visual attention using bio-inspired models emulating the human visual system to allow robots to interact with their surroundings. \nSpeaker’s bio\nGiulia D’Angelo is a postdoctoral researcher in neuroengineering in the EDPR laboratory at the Italian Institute of Technology. She obtained a B.Sc. in biomedical engineering and an M.Sc. in neuroengineering\, developing a neuromorphic visual system at the King’s College of London. She successfully defended her Ph.D. VIVA in 2022 at the university of Manchester\, proposing a biologically plausible model for event-driven saliency-based visual attention. She is currently working on bio-inspired visual algorithms exploiting neuromorphic platforms.
URL:https://www.neuropac.info/event/giulia-dangelo-whats-catching-your-eye-the-visual-attention-mechanism/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230505T110000
DTEND;TZID=America/New_York:20230505T120000
DTSTAMP:20260429T155943
CREATED:20230423T184025Z
LAST-MODIFIED:20230423T185121Z
UID:10000232-1683284400-1683288000@www.neuropac.info
SUMMARY:Frances Chance - Modeling Coordinate Transformations in Neural and Neuromorphic Systems
DESCRIPTION:Hosted by the Perception and Robotics Group Seminar Series on Robotics and Computer Vision at the University of Maryland. \nAbstract. Animals excel at a wide range behaviors\, many of which are essential for survival. For example\, dragonflies are aerial predators\, known for both their speed and high success rate\, that must perform fast\, accurate\, and efficient calculations to survive. I will present a neural network model\, inspired by the dragonfly nervous system\, that calculates turning for successful prey interception. The model relies upon a coordinate transformation from eye-coordinates to body-coordinates\, an operation that must be performed by almost any animal nervous system relying upon sensory information to interact with the external world. I will discuss how I and collaborators are combining neuroscience experiments\, modeling studies\, and exploration of neuromorphic architectures to understand how the biological dragonfly nervous system performs coordinate transformations and to develop novel approaches for efficient neural- inspired computation. \nBio. As a computational neuroscientist\, Frances Chance has always been fascinated by how neural circuits compute information. Her current research focuses on applying knowledge of how neural systems operate towards the development of novel neuro-inspired algorithms and brain- based architectures. Frances Chance received her PhD and MS from Brandeis University and her BS from the California Institute of Technology. Currently she is a Principal Member of the Technical Staff at Sandia National Laboratories.
URL:https://www.neuropac.info/event/frances-chance-modeling-coordinate-transformations-in-neural-and-neuromorphic-systems/
LOCATION:University of Maryland\, 8125 Paint Branch Dr (Room IRB 4105)\, College Park\, MD\, 20740\, United States
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230418T210000
DTEND;TZID=Europe/Amsterdam:20230418T223000
DTSTAMP:20260429T155943
CREATED:20230320T142706Z
LAST-MODIFIED:20230320T142706Z
UID:10000033-1681851600-1681857000@www.neuropac.info
SUMMARY:NeuroPAC Seminar: Forum on Neuromorphic Navigation
DESCRIPTION:Panelists: \n\nAndrew Davidson\, Imperial College\, London\nKostas Daniilidis\, University of Pennsylvania\nMichael Milford\, Queensland University of Technology\n\nJoin the seminar: https://umd.zoom.us/j/93344217202 \nMore information: https://www.neuropac.info/seminars/
URL:https://www.neuropac.info/event/neuropac-seminar-forum-on-neuromorphic-navigation/
LOCATION:Online
CATEGORIES:Symposium,Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230214T180000
DTEND;TZID=UTC:20230214T193000
DTSTAMP:20260429T155943
CREATED:20230127T223002Z
LAST-MODIFIED:20230127T223002Z
UID:10000006-1676397600-1676403000@www.neuropac.info
SUMMARY:Giorgia Dellaferrera: PEPITA - A forward-forward alternative to backpropagation
DESCRIPTION:Bio: Giorgia Dellaferrera has completed her PhD in computational neuroscience at the Institute of Neuroinformatics (ETH Zurich and the University of Zurich) and IBM Research Zurich with Prof. Indiveri\, Prof. Eleftheriou and Dr. Pantazi. Her doctoral thesis focused on the interplay between neuroscience and artificial intelligence\, with an emphasis on learning mechanisms in brains and machines. During her PhD\, she visited the lab of Prof. Kreiman at the Harvard Medical School (US)\, where she developed a biologically inspired training strategy for artificial neural networks. Before her PhD\, Giorgia obtained a master in Applied Physics at the Swiss Federal Institute of Technology Lausanne (EPFL) and worked as an intern at the Okinawa Institute of Science and Technology\, Logitech\, Imperial College London\, and EPFL.
URL:https://www.neuropac.info/event/giorgia-dellaferrera-pepita-a-forward-forward-alternative-to-backpropagation/
LOCATION:Online
CATEGORIES:Talk
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