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A neuromorphic approach to computer vision [PDF]
Communications of the ACM, 2010 Neuroscience is beginning to inspire a new generation of seeing machines.
Serre, Thomas, Poggio, Tomaso A.
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Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature
IEEE AccessIn recent years, visual sensors have been quickly improving towards mimicking the visual information acquisition process of human brain by responding to illumination changes as they occur in time rather than at fixed time intervals.
Catarina Brites, Joao Ascenso
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Circular polarization-resolved ultraviolet photonic artificial synapse based on chiral perovskite
Nature Communications, 2023 Circularly polarized light (CPL) adds a unique dimension to optical information processing and communication. Integrating CPL sensitivity with light learning and memory in a photonic artificial synapse (PAS) device holds significant value for advanced ...
Qi Liu +8 more
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Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA
Sensors, 2020 Neuromorphic vision sensors detect changes in luminosity taking inspiration from mammalian retina and providing a stream of events with high temporal resolution, also known as Dynamic Vision Sensors (DVS).
Ricardo Tapiador-Morales +5 more
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Journal of Advanced Transportation, 2022 An important aspect of the perception system for intelligent vehicles is the detection and signal measurement of vehicle taillights. In this work, we present a novel vision-based measurement (VBM) system, using an event-based neuromorphic vision sensor ...
Zhengfa Liu +5 more
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ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks
Frontiers in Neuroscience, 2021 With event-driven algorithms, especially spiking neural networks (SNNs), achieving continuous improvement in neuromorphic vision processing, a more challenging event-stream dataset is urgently needed. However, it is well-known that creating an ES-dataset
Yihan Lin +4 more
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Recent advances in neuromorphic transistors for artificial perception applications
Science and Technology of Advanced Materials, 2023 Conventional von Neumann architecture is insufficient in establishing artificial intelligence (AI) in terms of energy efficiency, computing in memory and dynamic learning.
Wei Sheng Wang, Li Qiang Zhu
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Artificial intelligence-based spatio-temporal vision sensors: applications and prospects
Frontiers in Materials, 2023 Introduction: Advances in machine vision and mobile electronics will be accelerated by the creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture recognition of visual information and data pre-processing. Several new
Zhixue Li, Hongwei Sun
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Active fixation as an efficient coding strategy for neuromorphic vision. [PDF]
Sci Rep, 2023 ABSTRACT Contrary to a photographer, who puts a great effort in keeping the lens still, eyes insistently move even during fixation. This benefits signal decorrelation, which underlies an efficient encoding of visual information.
Testa S, Sabatini SP, Canessa A.
europepmc +4 more sources
Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]
, 2009 Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J +8 more
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