SPLEAT is a SPiking Low-power Event-based ArchiTecture for the hardware deployment of Spiking Neural Networks (SNN). SPLEAT is designed as a configurable architecture that allows integrating several hardware modules representing different neural layers and, therefore, gives the ability to deploy a wide range of deep convolutional SNN topologies. Thanks to its event-based structure, SPLEAT takes advantage of the asynchronous spiking behavior to realize prediction efficiently.
Applications
Event-based object detection with spiking neural networks on neuromorphic hardware
