Audio Classification On Shd

Metrics

Percentage correct

Results

Performance results of various models on this benchmark

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

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Audio Classification On Shd | SOTA | HyperAI