HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Audio Classification On Shd

평가 지표

Percentage correct

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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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