ArticleProceedings of the National Academy of Sciences of the United States of America2020
A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Context-Aware Evidence-Gated Plasticity for Multi-Goal Learning in Spiking Neural Networks.Research square · 2026Article
- Context-Aware Evidence-Gated Plasticity for Multi-Goal Learning in Spiking Neural Networks.bioRxiv : the preprint server for biology · 2026Article
- A neural mechanism for online discovery of latent contexts.bioRxiv : the preprint server for biology · 2026Article
- Neural representations of beliefs in a multi-dimensional inference task.bioRxiv : the preprint server for biology · 2026Article
- Artificial intelligence and the transformation of education: a systematic narrative review towards adaptive epistemic ecosystems and post-linear pedagogy.Frontiers in artificial intelligence · 2026Review
- Article
- Rapid context inference in a thalamocortical model using recurrent neural networks.Nature communications · 2024Article
- Exploration-Exploitation Mechanisms in Recurrent Neural Networks and Human Learners in Restless Bandit Problems.Computational brain & behavior · 2024Article
- Thalamocortical architectures for flexible cognition and efficient learning.Trends in cognitive sciences · 2024Review
- Modelling cognitive flexibility with deep neural networks.Current opinion in behavioral sciences · 2024Article
- Exploring strategy differences between humans and monkeys with recurrent neural networks.PLoS computational biology · 2023Article
- A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost.Science advances · 2023Article
- The Computational and Neural Bases of Context-Dependent Learning.Annual review of neuroscience · 2023Review
- Continual task learning in natural and artificial agents.Trends in neurosciences · 2023Review
- Trait representation of embodied cognition in dancers pivoting on the extended mirror neuron system: a resting-state fMRI study.Frontiers in human neuroscience · 2023Article
- Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals.PLoS computational biology · 2023Article
- A survey and perspective on neuromorphic continual learning systems.Frontiers in neuroscience · 2023Review
- Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning.Artificial intelligence · 2022Article
- A Neural Network Model of Continual Learning with Cognitive Control.CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference · 2022Article
- Context-dependent persistency as a coding mechanism for robust and widely distributed value coding.Neuron · 2022Article
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Authors and funding
4 authors.
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Abstract
The prefrontal cortex encodes and stores numerous, often disparate, schemas and flexibly switches between them. Recent research on artificial neural networks trained by reinforcement learning has made it possible to model fundamental processes underlying schema encoding and storage. Yet how the brain is able to create new schemas while preserving and utilizing old schemas remains unclear. Here we propose a simple neural network framework that incorporates hierarchical gating to model the prefrontal cortex's ability to flexibly encode and use multiple disparate schemas. We show how gating naturally leads to transfer learning and robust memory savings. We then show how neuropsychological impairments observed in patients with prefrontal damage are mimicked by lesions of our network. Our architecture, which we call DynaMoE, provides a fundamental framework for how the prefrontal cortex may handle the abundance of schemas necessary to navigate the real world.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.