Implementation of a time-warping AER mapper

In recent implementations of neuromorphic spike-based sensors, multi-neuron processors, and actuators; the spike traffic between devices is coded in the form of asynchronous spike streams following the address-event-representation protocol. This spike information can be modified during the transmission from one device to another by using a mapper device. In this paper we present a mapper implementation which transforms event addresses and can also delay events in time. We discuss two different architectures for implementing the time delays on an FPGA board (USB-AER), and we present an example of the use of the time delay feature in the mapper in an implementation of a visual elementary motion detection model based on the spike outputs of a temporal contrast retina.