Cover Image

Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Terres-Escudero, Erik B., Del Ser, Javier, García-Bringas, Pablo
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization
by: Terres-Escudero, Erik B., et al.
Published: (2024)

NeoHebbian Synapses to Accelerate Online Training of Neuromorphic Hardware
by: Pande, Shubham, et al.
Published: (2024)

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning
by: Wu, Yujie, et al.
Published: (2024)

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
by: Poyatos, Javier, et al.
Published: (2024)

Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
by: Minhas, Mishal Fatima, et al.
Published: (2024)

Selectivity and Shape in the Design of Forward-Forward Goodness Functions
by: Akkus, Talha Ruzgar, et al.
Published: (2026)

Emergent Heterogeneous Swarm Control Through Hebbian Learning
by: van Diggelen, Fuda, et al.
Published: (2025)

Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm
by: Ghader, Mohammadnavid, et al.
Published: (2025)

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

Neuron-centric Hebbian Learning
by: Ferigo, Andrea, et al.
Published: (2024)

A Prescription of Methodological Guidelines for Comparing Bio-inspired Optimization Algorithms
by: LaTorre, Antonio, et al.
Published: (2020)

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing
by: Stewart, Kenneth, et al.
Published: (2024)

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

Forward-Forward Learning achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networks
by: Terres-Escudero, Erik B., et al.
Published: (2024)

Learning Successor Features with Distributed Hebbian Temporal Memory
by: Dzhivelikian, Evgenii, et al.
Published: (2023)

NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
by: Walters, Ben, et al.
Published: (2025)

Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker
by: Sharma, Shivani, et al.
Published: (2024)

Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware
by: Cotteret, Madison, et al.
Published: (2024)

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

SNAP: Stopping Catastrophic Forgetting in Hebbian Learning with Sigmoidal Neuronal Adaptive Plasticity
by: Xu, Tianyi, et al.
Published: (2024)

Breaking the Conventional Forward-Backward Tie in Neural Networks: Activation Functions
by: Troiano, Luigi, et al.
Published: (2025)

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
by: Poyatos, Javier, et al.
Published: (2023)

Application of Machine Learning for Correcting Defect-induced Neuromorphic Circuit Inference Errors
by: Sawal, Vedant, et al.
Published: (2025)

A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024)

An Integrated Toolbox for Creating Neuromorphic Edge Applications
by: Niedermeier, Lars, et al.
Published: (2024)

A Multi-Threading Kernel for Enabling Neuromorphic Edge Applications
by: Niedermeier, Lars, et al.
Published: (2025)

Self-Contrastive Forward-Forward Algorithm
by: Chen, Xing, et al.
Published: (2024)

Improved Forward-Forward Contrastive Learning
by: R, Gananath
Published: (2024)

Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
by: Blessing, Effiong, et al.
Published: (2025)

Word2Spike: Poisson Rate Coding for Associative Memories and Neuromorphic Algorithms
by: Kalra, Archit, et al.
Published: (2025)

The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
by: Molina, Daniel, et al.
Published: (2025)

Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity
by: Chaudhary, Siddharth
Published: (2025)

NEXUS: Bit-Exact ANN-to-SNN Equivalence via Neuromorphic Gate Circuits with Surrogate-Free Training
by: Tang, Zhengzheng
Published: (2026)

Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
by: Talbi, El-ghazali
Published: (2025)

Scalable Forward-Forward Algorithm
by: Krutsylo, Andrii
Published: (2025)

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks
by: Sharma, Jatin, et al.
Published: (2026)

Stochastic Forward-Forward Learning through Representational Dimensionality Compression
by: Zhu, Zhichao, et al.
Published: (2025)

Embodied World Models Emerge from Navigational Task in Open-Ended Environments
by: Jin, Li, et al.
Published: (2025)

A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks
by: Terres-Escudero, Erik B., et al.
Published: (2024)

CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
by: Hajizada, Elvin, et al.
Published: (2026)