...unique programmable microcode learning engine for on-chip [[spiking neural network|SNN]] training. The chip was formally presented at the 2018 Neuro Inspired ...ning many neurons are interlinked and receive spikes from elsewhere in the network. When received spikes accumulate for a certain period of time and reach a s

'''SpiNNaker''' ('''[[Spiking Neural Network]] Architecture''') is a research project by the Advanced Processor Technolo

* [[Spiking neural network]] ...ervised modes are supported. In the supervised mode, initial layers of the network are trained autonomously with the labels being applied to the final fully-c

...was introduced in late 2021. The chip uses an asynchronous spiking neural network (SNN) to implement adaptive self-modifying event-driven fine-grained parall ...ning many neurons are interlinked and receive spikes from elsewhere in the network. When received spikes accumulate for a certain period of time and reach a s