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아카이브 평가 11건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
Event-SSM	Percentage correct 95.9	Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models 2024-04-29	코드 1
SNN with Dilated Convolution with Learnable Spacings	Percentage correct 95.1	Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings 2023-06-30	코드 1
SNN featuring learnable axonal delays with adaptively delay caps	Percentage correct 92.45	Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition 2023-02-16	연결 없음
CNN	Percentage correct 92.4	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks 2019-10-16	연결 없음
SNN with spatio-temporal filters and attention	Percentage correct 92.4	STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks 2022-10-11	코드 1
SNN with temporal-wise attention	Percentage correct 91.1	Temporal-wise Attention Spiking Neural Networks for Event Streams Classification 2021-07-25	연결 없음
SNN	Percentage correct 87.0	MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks 2022-04-21	코드 1
Recurrent convolutional SNN	Percentage correct 83.5	Fluctuation-driven initialization for spiking neural network training 2022-06-21	코드 1
Recurrent SNN	Percentage correct 83.2	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks 2019-10-16	연결 없음
Sparse Spiking Gradient Descent	Percentage correct 77.5	Sparse Spiking Gradient Descent 2021-05-18	코드 1
FastSNN	Percentage correct 70.32	Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks 2022-05-30	코드 1