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Ardelean, Andrei (author)
Simulating large spiking neural networks (SNN) with a high level of<br/>realism in a field programmable gate array (FPGA) requires efficient<br/>network architectures that satisfy both resource and interconnect constraints, as well as changes in traffic patterns due to learning processes.<br/>Based on a clustered SNN simulator concept, in this...
master thesis 2017