1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
Pengfei Sun, Zhe Su, Jascha Achterberg +3
Spiking neural networks excel at event-driven sensing. Yet, maintaining task-relevant context over long timescales both algorithmically and in hardware, while respecting both tight…
Exploiting heterogeneous delays for efficient computation in low-bit neural networks
Pengfei Sun, Jascha Achterberg, Zhe Su +2
Neural networks rely on learning synaptic weights. However, this overlooks other neural parameters that can also be learned and may be utilized by the brain. One such parameter is…
Spikemax: Spike-based Loss Methods for Classification
Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun
Spiking Neural Networks~(SNNs) are a promising research paradigm for low power edge-based computing. Recent works in SNN backpropagation has enabled training of SNNs for practical…
Axonal Delay As a Short-Term Memory for Feed Forward Deep Spiking Neural Networks
Pengfei Sun, Longwei Zhu, Dick Botteldooren
The information of spiking neural networks (SNNs) are propagated between the adjacent biological neuron by spikes, which provides a computing paradigm with the promise of simulatin…