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Neuromorphic engineering is about to enter its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems.The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops.With this special research topic, we aim to showcase the state-of-the-art in neuromorphic systems.

Neuromorphics. --- Computational neuroscience. --- neuromorphic engineering --- Learning --- Floating gate --- Neural Network --- spike-based --- event-based --- simulation --- dynamic vision sensor --- network

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Neurosciences --- autonomous vehicles --- bio-inspired learning --- deep learning --- neuromorphic vision --- spiking neuron network --- autonomous robotics --- event based sensor --- dynamic vision sensor --- deep spiking neuron network

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Neuromorphic engineering is about to enter its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems.The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops.With this special research topic, we aim to showcase the state-of-the-art in neuromorphic systems.

Neuromorphics. --- Computational neuroscience. --- Bioengineering --- Mechanical Engineering --- Engineering & Applied Sciences --- neuromorphic engineering --- Learning --- Floating gate --- Neural Network --- spike-based --- event-based --- simulation --- dynamic vision sensor --- network --- neuromorphic engineering --- Learning --- Floating gate --- Neural Network --- spike-based --- event-based --- simulation --- dynamic vision sensor --- network