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hebbian learning

30 papers

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Co-occurring keywords

neural network (6616) synaptic plasticity (41) spiking neural network (331) plasticity rule (9) representation learning (6206) biological plausibility (31) online learning (1777) reinforcement learning (4352) unsupervised learning (3264) reward-modulated hebbian learning (2)

Papers

HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents ACL 2026
HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning AAAI 2026
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency AAAI 2025
Visual Pinwheel Centers Act as Geometric Saliency Detectors NIPS 2024
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract) AAAI 2024
What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning AAAI 2024
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation CVPR 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons ICML 2023
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference NIPS 2023
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity NIPS 2023
Online Training Through Time for Spiking Neural Networks NIPS 2022
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract) AAAI 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions NIPS 2021
Meta-Learning Bidirectional Update Rules ICML 2021
Learning efficient task-dependent representations with synaptic plasticity NIPS 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NIPS 2020
Characterizing emergent representations in a space of candidate learning rules for deep networks NIPS 2020
A simple normative network approximates local non-Hebbian learning in the cortex NIPS 2020
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NIPS 2020
Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018
Modeling Hebb Learning Rule for Unsupervised Learning IJCAI 2017
Enforcing balance allows local supervised learning in spiking recurrent networks NIPS 2015
Perfect Associative Learning with Spike-Timing-Dependent Plasticity NIPS 2013
A lattice filter model of the visual pathway NIPS 2012
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NIPS 2009