![]() The logic has been evaluated in an Opal-Kelly XEM6010 acting as a daughter board for the AER-Node platform. These functionalities and implementations are explained and tested in this work. Real-time monitoring and sequencing, logging and playing back long sequences of events/spikes to and from memory and several merging and splitting ports are the main requirements when developing these systems. Address-Event-Representation (AER) is a communication protocol for transferring events/spikes between bio-inspired chips/systems. This paper presents a set of logic implementations for FPGA that assists on the development of event-based systems and their debugging. Therefore, developing this kind of systems requires the use of specialized tools for debugging and testing those flows of events. Small incremental processing is done per event, what shows useful results with very low latencies. This codification allows performing complex computations, filters, classifications and learning in a pseudo-simultaneous way. They use spike- or event-based representation and codification of the information. Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. The paper isįocused on describing in detail the LVDS serial interface and These boards also allow modular expansionįunctionality through several daughter boards. Supporting up to x2 28-bit parallel data with asynchronous Theīoard allows back compatibility with parallel AER devices This paperĭescribes a novel modular Address-Event-Representation (AER)įPGA-based (Spartan6) infrastructure PCB (the AER-Nodeīoard) with 2.5Gbps LVDS high speed serial links over SATAĬables that offers a peak performance of 32-bit 62.5Meps (MegaĮvents per second) on board-to-board communications. ![]() Implementations is not on the performance inside a chip or aīoard, but in the communication between boards. Many times the bottleneck of these system The higher the communication performance of the hosting The larger the brain process emulation on silicon is, Several EU and others worldwide projects areĭemonstrating this, like SpiNNaker, BrainScaleS, FACETS, or Nowadays spike-based brain processing emulation is
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