Cover Image

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Apolinario, Marco Paul E., Roy, Arani, Roy, Kaushik
Format:	Preprint
Published:	2024
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

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

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
by: Apolinario, Marco Paul E., et al.
Published: (2023)

LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
by: Apolinario, Marco Paul E., et al.
Published: (2025)

CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
by: Apolinario, Marco Paul E., et al.
Published: (2024)

Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)

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

Meta-Learning Loss Functions for Deep Neural Networks
by: Raymond, Christian
Published: (2024)

Deep Oscillatory Neural Network
by: Rohan, Nurani Rajagopal, et al.
Published: (2024)

The Enduring Dominance of Deep Neural Networks: A Critical Analysis of the Fundamental Limitations of Quantum Machine Learning and Spiking Neural Networks
by: Ishikawa, Takehiro
Published: (2025)

Izhikevich-Inspired Temporal Dynamics for Enhancing Privacy, Efficiency, and Transferability in Spiking Neural Networks
by: Moshruba, Ayana, et al.
Published: (2025)

Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities
by: Wang, Huan, et al.
Published: (2023)

Half-Space Feature Learning in Neural Networks
by: Yadav, Mahesh Lorik, et al.
Published: (2024)

Mechanistic Neural Networks for Scientific Machine Learning
by: Pervez, Adeel, et al.
Published: (2024)

Nature-Inspired Local Propagation
by: Betti, Alessandro, et al.
Published: (2024)

Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions
by: Drammis, Sabrina, et al.
Published: (2024)

Deep Neural Regression Collapse
by: Rangamani, Akshay, et al.
Published: (2026)

Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
by: Mazandarani, Mehran, et al.
Published: (2025)

Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
by: Vinhas, Adriano, et al.
Published: (2024)

Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation
by: Dean, Nathaniel, et al.
Published: (2024)

Training Neural Networks with Optimal Double-Bayesian Learning
by: Bui, Vy, et al.
Published: (2026)

Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations
by: Tripp, Charles Edison, et al.
Published: (2024)

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

Quantum-Evolutionary Neural Networks for Multi-Agent Federated Learning
by: Lala, Aarav, et al.
Published: (2025)

Restricted Bayesian Neural Network
by: Ganguly, Sourav, et al.
Published: (2024)

Time Elastic Neural Networks
by: Marteau, Pierre-François
Published: (2024)

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

Polysemanticity and Capacity in Neural Networks
by: Scherlis, Adam, et al.
Published: (2022)

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks
by: Yin, Huifeng, et al.
Published: (2024)

Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
by: Tang, Bo, et al.
Published: (2026)

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

The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
by: Nguyen, Manh V., et al.
Published: (2024)

Sheaf Neural Networks and biomedical applications
by: Mehrab, Aneeqa, et al.
Published: (2026)

Spark: Modular Spiking Neural Networks
by: Franco, Mario, et al.
Published: (2026)

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents
by: Devkota, Avaneesh, et al.
Published: (2024)

Causal Learning with Neural Assemblies
by: Kopadi, Evangelia, et al.
Published: (2026)

Airborne Neural Network
by: Ranjan, Paritosh, et al.
Published: (2025)

A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules
by: Ahmadvand, Reza, et al.
Published: (2024)

Machine Unlearning using Forgetting Neural Networks
by: Hatua, Amartya, et al.
Published: (2024)

Structure of Artificial Neural Networks -- Empirical Investigations
by: Stier, Julian
Published: (2024)

Invariant Representations with Stochastically Quantized Neural Networks
by: Cerrato, Mattia, et al.
Published: (2022)