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We have started to write SpikingJelly API for running SNNs on Loihi.
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> In progress: we are perfecting the functionality to add a precomputed KNN graph (for example constructed with Seurat or scanpy) to the graph slot using the adjacency matrix.
It has been in the vi…
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您好！我希望能够向您请教，了解SNN如何学习回归问题。
我最近正在学习Spikingjelly的教程，希望能够将SNN用于更广泛的CV问题。Spikingjelly教程中给出的Task都是classification，但我想用SNN来做regression。我目前了解到SNN在regression问题上的应用是AAAI-20的《Spiking-YOLO》，我浏览了该论文，但是文中没有详细说明…
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- Optimize the connection array so that no unnecessary computing is done (eg: no need to compute a connection that does not actually exist).
- Question: how does it relate to learning, and how do we …
alx-s updated
3 years ago
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Hi,
Thank you for developing this incredibly useful pipeline. It has been instrumental in my scRNA-seq analysis work. I have encountered an interesting issue while using the script provided: when u…
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I try your code in two ways in COCO2014 dataset,
1)in ultralytics/yolov3 branche , use cfg/yolov3-tiny-ours.cfg, i can reach 38.70% map, but I use "python3 ann_to_snn.py xx", yolov3-tiny-our…
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您好！
请问ann_to_snn.py代码中最后的test段落，
if opt.task == 'test': # (default) test normally
snn_results, maps, firing_ratios = snn_evaluate(opt,
…
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Hi,
after i did the conversion from ann to snn the converted snn model is look like this. However i cannot see the snn tailor part with snn_model.named_parameters() method. Actually i want to know,…
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Please:
- [x] Check for duplicate requests.
- [x] Describe your goal, and if possible provide a code snippet with a motivating example.
Implementation of the online learning algorithms for spik…
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对于一个数据形状为100*500，100表示通道数，500表示数据点数，也可以视为SNN的时间步数，所有数据已是0，1格式，很明显500个时间步对于SNN来说太长了，请问有没有什么方法降低时间步长