Cover Image

A Theory of Synaptic Neural Balance: From Local to Global Order

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baldi, Pierre, Alexos, Antonios, Domingo, Ian, Rahmansetayesh, Alireza
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

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
by: Xiao, Mingqing, et al.
Published: (2024)

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)

SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
by: Dai, Gaole, et al.
Published: (2024)

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity
by: Lohoff, Jamie, et al.
Published: (2025)

Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models
by: Farsang, Mónika, et al.
Published: (2026)

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

Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
by: Xiao, Mingqing, et al.
Published: (2024)

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
by: Apolinario, Marco Paul E., 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)

Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction
by: Udupi, Himanshu, et al.
Published: (2026)

Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet
by: Aktar, Farjana, et al.
Published: (2025)

A Theory of Relation Learning and Cross-domain Generalization
by: Doumas, Leonidas A. A., et al.
Published: (2019)

Approximation Theory for Neural Networks: Old and New
by: Mukherjee, Soumendu Sundar, et al.
Published: (2026)

A Resource Model For Neural Scaling Law
by: Song, Jinyeop, et al.
Published: (2024)

Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
by: Pourcel, Julien, et al.
Published: (2025)

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

Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial Crowds
by: Jourlin, Pierre
Published: (2026)

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)

Probabilistic Neural Circuits
by: Martires, Pedro Zuidberg Dos
Published: (2024)

A Learning-Based Cooperative Coevolution Framework for Heterogeneous Large-Scale Global Optimization
by: Qiu, Wenjie, et al.
Published: (2026)

Neural Interpretable Reasoning
by: Barbiero, Pietro, et al.
Published: (2025)

A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
by: Shiraishi, Hiroki, et al.
Published: (2025)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
by: Putra, Rachmad Vidya Wicaksana, et al.
Published: (2024)

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

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

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

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

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

A Neural Network Training Method Based on Distributed PID Control
by: Kun, Jiang
Published: (2024)

What Planning Problems Can A Relational Neural Network Solve?
by: Mao, Jiayuan, et al.
Published: (2023)

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
by: Baronig, Maximilian, et al.
Published: (2025)

SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search
by: Mih, Atah Nuh, et al.
Published: (2026)

A Gauge Theory of Superposition: Toward a Sheaf-Theoretic Atlas of Neural Representations
by: Javidnia, Hossein
Published: (2026)

Deep ARTMAP: Generalized Hierarchical Learning with Adaptive Resonance Theory
by: Melton, Niklas M., et al.
Published: (2025)

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

Feedback Favors the Generalization of Neural ODEs
by: Jia, Jindou, 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)

Interpretable Neural-Symbolic Concept Reasoning
by: Barbiero, Pietro, et al.
Published: (2023)

Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
by: Cornei, Laura-Maria, et al.
Published: (2026)