TY - BOOK ID - 133387611 TI - Neuromorphic engineering systems and applications AU - Schaik, André van AU - Delbruck, Tobi AU - Hasler, Jennifer PY - 2015 PB - Frontiers Media SA DB - UniCat KW - Neuromorphics. KW - Computational neuroscience. KW - Bioengineering KW - Mechanical Engineering KW - Engineering & Applied Sciences KW - neuromorphic engineering KW - Learning KW - Floating gate KW - Neural Network KW - spike-based KW - event-based KW - simulation KW - dynamic vision sensor KW - network UR - https://www.unicat.be/uniCat?func=search&query=sysid:133387611 AB - 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. ER -