Imagen de Portada

Similarity-based context aware continual learning for spiking neural networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Han, Bing, Zhao, Feifei, Li, Yang, Kong, Qingqun, Li, Xianqi, Zeng, Yi
Formato:	Preprint
Publicado:	2024
Materias:	Neural and Evolutionary Computing Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
por: Han, Bing, et al.
Publicado: (2023)

Fractional-order spike-timing-dependent gradient descent for multi-layer spiking neural networks
por: Yang, Yi, et al.
Publicado: (2024)

Reconsidering the energy efficiency of spiking neural networks
por: Yan, Zhanglu, et al.
Publicado: (2024)

Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
por: Han, Bing, et al.
Publicado: (2022)

Differentiable architecture search with multi-dimensional attention for spiking neural networks
por: Man, Yilei, et al.
Publicado: (2024)

Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
por: Pan, Wenxuan, et al.
Publicado: (2024)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence
por: He, Xiang, et al.
Publicado: (2025)

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
por: Song, Yu, et al.
Publicado: (2024)

Causal pieces: analysing and improving spiking neural networks piece by piece
por: Dold, Dominik, et al.
Publicado: (2025)

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
por: Li, Yang, et al.
Publicado: (2024)

Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
por: Sun, Yinqian, et al.
Publicado: (2023)

DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
por: Richter, Ole, et al.
Publicado: (2023)

Interpolating neural network: A novel unification of machine learning and interpolation theory
por: Park, Chanwook, et al.
Publicado: (2024)

Three factor delay learning rules for spiking neural networks
por: Vassallo, Luke, et al.
Publicado: (2026)

Long-only cryptocurrency portfolio management by ranking the assets: a neural network approach
por: Yang, Zijiang
Publicado: (2025)

Equivalence of approximation by networks of single- and multi-spike neurons
por: Dold, Dominik, et al.
Publicado: (2026)

Knowledge-aware Evolutionary Graph Neural Architecture Search
por: Wang, Chao, et al.
Publicado: (2024)

State-space models can learn in-context by gradient descent
por: Sushma, Neeraj Mohan, et al.
Publicado: (2024)

An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
por: Keisler, Julie, et al.
Publicado: (2023)

Gate-level boolean evolutionary geometric attention neural networks
por: Shi, Xianshuai, et al.
Publicado: (2025)

Learning fast changing slow in spiking neural networks
por: Capone, Cristiano, et al.
Publicado: (2024)

AR-LIF: Adaptive reset leaky integrate-and-fire neuron for spiking neural networks
por: Huang, Zeyu, et al.
Publicado: (2025)

STCSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
por: Xu, Changqing, et al.
Publicado: (2023)

Towards graph neural networks for provably solving convex optimization problems
por: Qian, Chendi, et al.
Publicado: (2025)

From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
por: Russin, Jacob, et al.
Publicado: (2024)

A logical re-conception of neural networks: Hamiltonian bitwise part-whole architecture
por: Bowen, E, et al.
Publicado: (2026)

DelRec: learning delays in recurrent spiking neural networks
por: Queant, Alexandre, et al.
Publicado: (2025)

Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification
por: Pabian, Mateusz, et al.
Publicado: (2024)

KHNNs: hypercomplex neural networks computations via Keras using TensorFlow and PyTorch
por: Niemczynowicz, Agnieszka, et al.
Publicado: (2024)

Application-oriented automatic hyperparameter optimization for spiking neural network prototyping
por: Fra, Vittorio
Publicado: (2025)

Fast gradient-free activation maximization for neurons in spiking neural networks
por: Pospelov, Nikita, et al.
Publicado: (2023)

A survey on learning models of spiking neural membrane systems and spiking neural networks
por: Paul, Prithwineel, et al.
Publicado: (2024)

Functional connectomes of neural networks
por: Songdechakraiwut, Tananun, et al.
Publicado: (2024)

Training neural networks without backpropagation using particles
por: Kumar, Deepak
Publicado: (2024)

Uncertainty Aware Neural Network from Similarity and Sensitivity
por: Kabir, H M Dipu, et al.
Publicado: (2023)

Chaos-based reinforcement learning with TD3
por: Matsuki, Toshitaka, et al.
Publicado: (2024)

Reinitializing weights vs units for maintaining plasticity in neural networks
por: Hernandez-Garcia, J. Fernando, et al.
Publicado: (2025)

Large Language Models as In-context AI Generators for Quality-Diversity
por: Lim, Bryan, et al.
Publicado: (2024)

Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families
por: Wu, Jialin, et al.
Publicado: (2025)

pyhgf: A neural network library for predictive coding
por: Legrand, Nicolas, et al.
Publicado: (2024)