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Stöckel, Andreas; Jenzen, Christoph ; Thies, Michael; Rückert, Ulrich: Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware. In: Frontiers in Computational Neuroscience. Jg.11. 2017
Inhalt
2.1. Binary Neural Associative Memory (BiNAM)
2.2. Spiking Neural Network Implementation
2.3. Parameter Selection
2.4. Target Platforms
2.5. Benchmark Procedure
3. Experiments and Results
3.1. Benchmark Experiments for High-Workload Scenarios
3.1.1. NEST
3.1.2. SpiNNaker
3.1.3. Spikey
3.1.4. BrainScaleS-ESS
3.2. Optimizing Platform Performance for High-Workload Scenarios
3.2.1. SpiNNaker and NEST
3.2.2. Spikey
3.2.3. BrainScaleS-ESS
3.3. One-Dimensional Data Parameter Sweeps
3.4. Two-Dimensional Neuron Parameter Sweep
3.5. Power-Efficiency
3.6. Summary
4. Discussion
Author Contributions
Acknowledgments
Supplementary Material
References