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I recently worked out the mean-field approximation of the spiking model of the hippocampus, more-or-less successfully. This process can be automated to a large extent.
The idea is to allow users to…
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The solution here may just be to restrict the threshold such that it cannot be
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In `spiking_vgg.py` average pooling is used in favor of max pooling for the VGG's pooling layers. What is the reason for this deviation?
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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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https://ericzhang1412.github.io/2023/11/29/SpikingNN-on-trial/?
refs Error-backpropagation in temporally encoded networks of spiking neurons, 10.1016/S0925-2312(01)00658-0 Spatio-Temporal Backpropa…
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For reference the python version of NEAT allows you to create recurrent and spiking neural networks.
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Hello!! I'm excited when I meet the nengo project!! I want to simulate my neuron model in nengo_loihi or nengo_FPGA. However, my neuron model can fire negative spike. I know the nengo support negative…
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Hi,
I am applying the spiking neural networks(SNN) for image classification problem for event camera data. with spiking neurons (LIF,PLIF) i am getting 15 - 20 percent accuracy difference between tr…