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Audio Classification On Shd

Metrics

Percentage correct

Results

Performance results of various models on this benchmark

Model Name	Percentage correct	Paper Title	Repository
Event-SSM	95.9	Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models	-
SNN with spatio-temporal filters and attention	92.4	STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks	-
SNN with temporal-wise attention	91.1	Temporal-wise Attention Spiking Neural Networks for Event Streams Classification	-
FastSNN	70.32	Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks	-
Sparse Spiking Gradient Descent	77.5	Sparse Spiking Gradient Descent	-
SNN	87.0	MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks	-
Recurrent SNN	83.2	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks	-
SNN with Dilated Convolution with Learnable Spacings	95.1	Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings	-
Recurrent convolutional SNN	83.5	Fluctuation-driven initialization for spiking neural network training	-
SNN featuring learnable axonal delays with adaptively delay caps	92.45	Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition	-
CNN	92.4	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks	-

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Audio Classification On Shd | SOTA | HyperAI