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Abstract: Neuromorphic hardware allows for fast and energy-efficient simulation of spiking neural networks. However, the usage of such devices is still a challenge, as it requires detailed knowledge about the Continue readingJannik Lubeoinski @ INRC – Brian2Lava: connecting the Brian 2 simulator to neuromorphic hardware |
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Title: Enhancing Performance and Efficiency of SNNs: From Spike-Based Loss Improvements to Synaptic Sparsification Techniques. Abstract: The introduction of offline training capabilities like Spike Layer Error Reassignment in Time (SLAYER) Continue readingMichael Jurado @ INRC – Enhancing Performance and Efficiency of SNNs |
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