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
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
Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks Abstract: In a recent paper Wunderlich and Pehle (2021) introduced the EventProp algorithm that enables training spiking neural Continue readingINRC Forum: Thomas Nowotny
