TQ-L.A: Neuromorphic and perception-based image acquisition and analysis
Tue, 18 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 18 Oct, 14:00 - 16:00 Central European Time (UTC +2)
Tue, 18 Oct, 12:00 - 14:00 UTC
Tue, 18 Oct, 08:00 - 10:00 Eastern Time (UTC -4)
Lecture
Special Session
Location: Room A
Session Chair: Marc Antonini, CNRS
Track: Special Sessions

TQ-L.A.1: BIOLOGICALLY PLAUSIBLE ILLUSIONARY CONTRAST PERCEPTION WITH SPIKING NEURAL NETWORKS
Hadar Cohen Duwek, Elishai Ezra Tsur, Open University of Israel, Israel

TQ-L.A.2: APPROXIMATING RELU NETWORKS BY SINGLE-SPIKE COMPUTATION
Ana Stanojevic, IBM Research – Zurich, Ecole polytechnique federale de Lausanne, Switzerland; Evangelos Eleftheriou, Giovanni Cherubini, Stanislaw Wozniak, Angeliki Pantazi, IBM Research – Zurich, Switzerland; Wulfram Gerstner, Ecole polytechnique federale de Lausanne, Switzerland

TQ-L.A.3: LEARNING HETERO-SYNAPTIC DELAYS FOR MOTION DETECTION IN A SINGLE LAYER OF SPIKING NEURONS
Antoine Grimaldi, Laurent Perrinet, Institut de Neurosciences de la Timone, France

TQ-L.A.4: UTILITY AND FEASIBILITY OF A CENTER SURROUND EVENT CAMERA
Tobi Delbruck, Chenghan Li, Rui Graca, Brian McReynolds, University of Zurich and ETH Zurich, Switzerland

TQ-L.A.5: Retina-inspired spatio-temporal filtering for dynamic video coding
Effrosyni Doutsi, Université Côte d'Azur, I3S lab, CNRS, Foundation for Research and Technology - Hellas, Greece; Marc Antonini, Université Côte d'Azur, I3S lab, CNRS,, France; Panagiotis Tsakalides, Foundation for Research and Technology - Hellas, University of Crete, Greece

TQ-L.A.6: BINA-REP EVENT FRAMES: A SIMPLE AND EFFECTIVE REPRESENTATION FOR EVENT-BASED CAMERAS
Sami Barchid, Chaabane Djéraba, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, France; José Mennesson, IMT Nord Europe, Institut Mines-Télécom, Centre for Digital System, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, France