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Excitatory/Inhibitory Balance Emerges as a Key Factor for RBN Performance, Overriding Attractor Dynamics
Reservoir computing provides a time and cost-efficient alternative to traditional learning methods. Critical regimes, known as the "edge of chaos," have been found to optimize computational performance in binary neural networks.
Improving Zero-Shot Neural Architecture Search with Parameters Scoring
The performance of a network in a task can be predicted by a score, even before the network is trained: this is referred to as zero-shot NAS.
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