Copertina

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yu, Chengting, Zhao, Xiaochen, Liu, Lei, Yang, Shu, Wang, Gaoang, Li, Erping, Wang, Aili
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Predictive Coding with Spiking Neural Networks: a Survey
di: N'dri, Antony W., et al.
Pubblicazione: (2024)

Power-Law Scaling in the Classification Performance of Small-Scale Spiking Neural Networks
di: Zhang, Zhengdi, et al.
Pubblicazione: (2026)

Multi-Objective Optimisation with Oscillatory Dynamics in Spontaneous and Decision Spiking Neural Networks
di: Sethi, Divyansh, et al.
Pubblicazione: (2026)

Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays
di: Perrinet, Laurent U
Pubblicazione: (2026)

Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
di: Yu, Chengting, et al.
Pubblicazione: (2024)

Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
di: Zhang, Duzhen, et al.
Pubblicazione: (2024)

HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
di: Deng, Zhichao, et al.
Pubblicazione: (2025)

Energy Consumption Optimization, Response Time Differences and Indicators in Cortical Working Memory Revealed by Nonequilibrium
di: Wang, Xiaochen, et al.
Pubblicazione: (2024)

A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
di: Zheng, Shengjie, et al.
Pubblicazione: (2022)

Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks
di: Feiler, Florian, et al.
Pubblicazione: (2024)

Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
di: Landsmeer, Lennart P. L., et al.
Pubblicazione: (2025)

Metric Framework of Coherent Activity Patterns Identification in Spiking Neuronal Networks
di: Radushev, Daniil, et al.
Pubblicazione: (2025)

SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware
di: Kartashov, Ivan, et al.
Pubblicazione: (2025)

Causal Spike Timing Dependent Plasticity Prevents Assembly Fusion in Recurrent Networks
di: Yang, Xinruo, et al.
Pubblicazione: (2025)

Allostatic Control of Persistent States in Spiking Neural Networks for perception and computation
di: Htet, Aung, et al.
Pubblicazione: (2025)

Exploring a Specialized Eccentricity-Based Deep Neural Network Model to Simulate Visual Attention
di: Jain, Manvi
Pubblicazione: (2025)

Approximate Macroscopic Dynamics of Spiking Neural Networks Based on Solutions to the Transport Equation
di: Nicola, Wilten, et al.
Pubblicazione: (2026)

Texture Recognition Using a Biologically Plausible Spiking Phase-Locked Loop Model for Spike Train Frequency Decomposition
di: Mastella, Michele, et al.
Pubblicazione: (2024)

Latent Diffusion for Neural Spiking Data
di: Kapoor, Jaivardhan, et al.
Pubblicazione: (2024)

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
di: Huang, Liwei, et al.
Pubblicazione: (2023)

Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling
di: Erturk, Eray, et al.
Pubblicazione: (2025)

Time-Integrated Spike-Timing-Dependent-Plasticity
di: Gebhardt, William, et al.
Pubblicazione: (2024)

Consciousness Driven Spike Timing Dependent Plasticity
di: Yadav, Sushant, et al.
Pubblicazione: (2024)

SpikeSift: A Computationally Efficient and Drift-Resilient Spike Sorting Algorithm
di: Georgiadis, Vasileios, et al.
Pubblicazione: (2025)

Smooth Exact Gradient Descent Learning in Spiking Neural Networks
di: Klos, Christian, et al.
Pubblicazione: (2023)

Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

Spike distance function as a learning objective for spike prediction
di: Doran, Kevin, et al.
Pubblicazione: (2023)

Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
di: Tian, Kaixi, et al.
Pubblicazione: (2025)

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning
di: Zong, Yongcheng, et al.
Pubblicazione: (2024)

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks
di: Wang, Xiang, et al.
Pubblicazione: (2025)

Organizational Regularities in Recurrent Neural Networks
di: Metzner, Claus, et al.
Pubblicazione: (2025)

RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
di: Cheng, Yu-Ang, et al.
Pubblicazione: (2024)

Continuous Attractor Networks for Laplace Neural Manifolds
di: Daniels, Bryan C., et al.
Pubblicazione: (2024)

Effect of Dopamine in Enhancement of SNR of Cortico-Striatal-Thalamo-Cortical Loop Spiking
di: Barati, Hadi, et al.
Pubblicazione: (2025)

Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
di: Zhu, Yu, et al.
Pubblicazione: (2025)

Functions of Direct and Indirect Pathways for Action Selection Are Quantitatively Analyzed in A Spiking Neural Network of The Basal Ganglia
di: Kim, Sang-Yoon, et al.
Pubblicazione: (2024)

Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation
di: Sun, Hongze, et al.
Pubblicazione: (2025)

Efficient Brain Network Estimation with Sparse ICA in Non-Human Primate Neuroimaging
di: Li, Qiang, et al.
Pubblicazione: (2025)

Recurrence Resonance -- Noise-Enhanced Dynamics in Recurrent Neural Networks
di: Metzner, Claus, et al.
Pubblicazione: (2024)

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve
di: Pereira, Patrícia, et al.
Pubblicazione: (2025)