2010 · 26 citations · 6 references
EngineeringComputer EngineeringComputer ScienceComputer ArchitectureEmbedded SystemsField-programmable Gate ArraysField-programmable Gate Array ArchitectureFpga ArchitectureHardware ArchitectureNeural CommunicationNeural Signal ProcessingBandwidthBandwidth UtilizationFpga PrototypingNeural Interface DesignNeuromorphic DevicesNeuromorphic HardwareSerial CommunicationSerial Communication Interfaces
One of the main challenges in large scale neuromorphic VLSI systems is the design of the communication infrastructure. Traditionally, the neural communication has been done via parallel asynchronous transmission of Address-Event-Representations (AER) of pulses, while the configuration was achieved via off-the-shelf chip connect protocols. Recently, there has been a move towards greater event transmission speed via a serialization of the AER protocols, as well as an integration of both communication and configuration in the same interface. We present the PCB and FPGA design of such an interface for a newly developed waferscale neuromorphic system. The serial event communication of other current approaches has been refined into a packet based synchronous (rather than asynchronous) protocol, which offers better flexibility and bandwidth utilization. A factor 30–100 greater event transmission rate has been achieved. Compared to other approaches, the full communication bandwidth can also be employed for configuration. The system offers additional functionality, such as event storage and replay. Also, a very high degree of mechanical integration has been achieved.
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A wafer-scale neuromorphic hardware system for large-scale neural modeling
Johannes Schemmel, Daniel Briiderle, Andreas Griibl et al. · 2010 · 677 citations
R. Serrano-Gotarredona, Matthias Oster, P. Lichtsteiner et al. · IEEE Transactions on Neural Networks · 2009 · 317 citations · Full text