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  "author": "Nicolas Perez-Nieves",
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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      "extra_author": "Dan F.M. Goodman",
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      "extra_author": "Dan F.M. Goodman",
            
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      "description": "",
            
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      "name": "spiking-neural-networks",
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      "name": "spiking-neural-networks",
            
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      "title": "Spiking Neural Networks"
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      "title": "Spiking Neural Networks"
            
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  "name": "spiking-neural-network-dataset",
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  "name": "spiking-neural-network-dataset",
            
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  "notes": "The dataset used in this paper is a spiking neural network 
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  "notes": "The dataset used in this paper is a spiking neural network 
            
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(SNN) with 20 layers, where each layer has 2000 LIF neurons. The input 
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(SNN) with 20 layers, where each layer has 2000 LIF neurons. The input 
            
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spikes are Poisson trains at a target rate of 10Hz, and the output 
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spikes are Poisson trains at a target rate of 10Hz, and the output 
            
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spikes are Poisson trains at a target rate of 30Hz. The network is 
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spikes are Poisson trains at a target rate of 30Hz. The network is 
            
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trained using surrogate gradient descent with a piecewise-constant 
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trained using surrogate gradient descent with a piecewise-constant 
            
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surrogate function.",
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surrogate function.",
            
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}