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H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00275687openalex-snapshot
Simplified neuron model as a principal component analyzer
inferredcites →https://doi.org/10.1038/nature20101openalex-snapshot
Hybrid computing using a neural network with dynamic external memory
inferredcites →https://doi.org/10.1038/ncomms13276openalex-snapshot
Random synaptic feedback weights support error backpropagation for deep learning
inferredcites →https://doi.org/10.1038/s41467-020-17236-yopenalex-snapshot
A solution to the learning dilemma for recurrent networks of spiking neurons
inferredcites →https://doi.org/10.1038/s41593-019-0414-3openalex-snapshot
Circuit mechanisms for the maintenance and manipulation of information in working memory
inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot
Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1109/mm.2018.112130359openalex-snapshot
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
inferredcites →https://doi.org/10.1109/tbcas.2016.2579164openalex-snapshot
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System
inferredcites →https://doi.org/10.1111/nyas.14213openalex-snapshot
Between persistently active and activity‐silent frameworks: novel vistas on the cellular basis of working memory
inferredcites →https://doi.org/10.1126/science.1150769openalex-snapshot
Synaptic Theory of Working Memory
inferredcites →https://doi.org/10.1146/annurev-psych-010416-044131openalex-snapshot
Memory: Organization and Control
inferredcites →https://doi.org/10.1146/annurev.ps.44.020193.002321openalex-snapshot
The Structure and Organization of Memory
inferredcites →https://doi.org/10.1152/physrev.00014.2003openalex-snapshot
Long-Term Potentiation and Memory
inferredcites →https://doi.org/10.1162/089976602760407955openalex-snapshot
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
inferredcites →https://doi.org/10.1162/neco.1992.4.1.131openalex-snapshot
Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks
inferredcites →https://doi.org/10.1162/neco_a_01060openalex-snapshot
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes
inferredcites →https://doi.org/10.1523/eneuro.0533-19.2020openalex-snapshot
A Model for Structured Information Representation in Neural Networks of the Brain
inferredcites →https://doi.org/10.18653/v1/d16-1147openalex-snapshot
Key-Value Memory Networks for Directly Reading Documents
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1502.05698openalex-snapshot
On Spatial Reasoning and Perspective Transformation in Language Models
inferredcites →https://doi.org/10.48550/arxiv.1603.01417openalex-snapshot
Dynamic Memory Networks for Visual and Textual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1612.03969openalex-snapshot
Tracking the World State with Recurrent Entity Networks
inferredcites →https://doi.org/10.48550/arxiv.1804.02464openalex-snapshot
Differentiable plasticity: training plastic neural networks with backpropagation
inferredcites →https://doi.org/10.48550/arxiv.1811.12143openalex-snapshot
Learning to Reason with Third-Order Tensor Products
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.neuron.2025.02.029openalex-snapshot
Key-value memory in the brain
inferred← citeshttps://doi.org/10.1038/s41467-025-56345-4openalex-snapshot
Rapid learning with phase-change memory-based in-memory computing through learning-to-learn
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650836openalex-snapshot
STDP-based Associative Memory Model on Spiking Neural Networks
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981250openalex-snapshot
BIMRL: Brain Inspired Meta Reinforcement Learning
inferred← citeshttps://doi.org/10.1111/exsy.12945openalex-snapshot
Sequential multi‐headed attention for entity‐based relational neural networks
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.830openalex-snapshot
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information
inferred← citeshttps://doi.org/10.57736/ww-77df-61e4openalex-snapshot
One-shot learning of paired associations by a reservoir computing model with Hebbian plasticity
inferred← citeshttps://doi.org/10.64898/2026.06.24.734176openalex-snapshot
Signed-XOR Error and Sparse Coding in a Dale-Compliant Substrate for Sequence Memorization
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