Cover Image

Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Roy, Samrendra, Kobayashi, Kazuma, Chakraborty, Souvik, Talukder, Sajedul, Alam, Syed Bahauddin
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
by: Roy, Samrendra, et al.
Published: (2026)

When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
by: Yoo, Jason, et al.
Published: (2026)

Learning with Spike Synchrony in Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)

Continual Learning with Columnar Spiking Neural Networks
by: Larionov, Denis, et al.
Published: (2025)

Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
by: Yu, Ziqiao, et al.
Published: (2025)

Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)

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

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)

Gradient-Free Training of Spiking Neural Networks via Low-Rank Evolution Strategies
by: Patankar, Dhruv, et al.
Published: (2026)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
by: Saiin, Ryuji, et al.
Published: (2023)

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
by: Ding, Yongqi, et al.
Published: (2026)

Continuous Spiking Graph Neural Networks
by: Yin, Nan, et al.
Published: (2024)

SpikeFI: A Fault Injection Framework for Spiking Neural Networks
by: Spyrou, Theofilos, et al.
Published: (2024)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
by: Sanaullah, et al.
Published: (2024)

Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
by: Chakraborty, Biswadeep, et al.
Published: (2024)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024)

Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks
by: Suetake, Kazuma, et al.
Published: (2023)

Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
by: Girão, Willian Soares, et al.
Published: (2025)

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks
by: Soures, Nicholas, et al.
Published: (2024)

SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
by: Padovano, Dario, et al.
Published: (2024)

Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
by: Li, Yaxin, et al.
Published: (2024)

Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
by: Zhang, Shao-Qun, et al.
Published: (2026)

SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
by: Roy, Samrendra, et al.
Published: (2026)

Parallel Hyperparameter Optimization Of Spiking Neural Network
by: Firmin, Thomas, et al.
Published: (2024)

SpikePipe: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling
by: Sanjeet, Sai, et al.
Published: (2024)

Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
by: Meem, Anika Tabassum, et al.
Published: (2026)

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding
by: Jiang, Yi, et al.
Published: (2024)

Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
by: Koopman, Roel, et al.
Published: (2024)

Spiking Neural Networks: The Future of Brain-Inspired Computing
by: Aribe Jr, Sales G.
Published: (2025)

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
by: Jiang, Jiaqiang, et al.
Published: (2025)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
by: Mehrabi, Ali, et al.
Published: (2023)

STAER: Temporal Aligned Rehearsal for Continual Spiking Neural Network
by: Gianferrari, Matteo, et al.
Published: (2026)

SpikingGamma: Surrogate-Gradient Free and Temporally Precise Online Training of Spiking Neural Networks with Smoothed Delays
by: Koopman, Roel, et al.
Published: (2026)

Free-Space Optical Spiking Neural Network
by: Ahmadi, Reyhane, et al.
Published: (2023)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)

TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
by: Apolinario, Marco Paul E., et al.
Published: (2025)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
by: Raptis, Spyridon, et al.
Published: (2025)

Spikingformer: A Key Foundation Model for Spiking Neural Networks
by: Zhou, Chenlin, et al.
Published: (2023)