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- W2045142475 abstract "Accelerated neuromorphic systems allow for fast emulation of spiking neural networks. In these systems, the transmission and handling of pulse events is a demanding task due to the required high bandwidth. In this demonstration, we show the pulse handling in the BrainScaleS waferscale system, which is a large-scale system of this kind. The acceleration of the system requires independent experiment control by dedicated high-speed FPGA network nodes. These nodes release pre-stored stimulus pulses from a playback memory and record neural activity to a trace memory. The external DDR2 memory employed for this task on each FPGA board can hold up to 5 · 108 pulse events, enabling long-term experiments. In this work, we use a fast execution of long emulation times for fine-grained characterization of neuromorphic neurons and small spiking networks. Our results point to the main benefit of accelerated neuromorphic hardware systems, making emulations of long-term experiments feasible, e.g. for learning or behavioural studies." @default.
- W2045142475 created "2016-06-24" @default.
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- W2045142475 date "2012-12-01" @default.
- W2045142475 modified "2023-09-27" @default.
- W2045142475 title "Long-term pulse stimulation and recording in an accelerated neuromorphic system" @default.
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- W2045142475 doi "https://doi.org/10.1109/icecs.2012.6463678" @default.
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