ArticleScientific reports2021
Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Predicting individual differences of fear and cognitive learning and extinction.Nature communications · 2026Article
- Extinction context is learned by pigeons, not given by the environment.Communications psychology · 2025Article
- Cortico-subcortical networks that determine behavioral memory renewal are redefined by noradrenergic neuromodulation.Scientific reports · 2025Article
- Distinct mechanisms and functions of episodic memory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Navigation and the efficiency of spatial coding: insights from closed-loop simulations.Brain structure & function · 2024Article
- Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model.Frontiers in computational neuroscience · 2024Article
- A model of hippocampal replay driven by experience and environmental structure facilitates spatial learning.eLife · 2023Article
- Modeling the function of episodic memory in spatial learning.Frontiers in psychology · 2023Article
- CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning.Frontiers in neuroinformatics · 2023Article
- Navigation task and action space drive the emergence of egocentric and allocentric spatial representations.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The context-dependence of extinction learning has been well studied and requires the hippocampus. However, the underlying neural mechanisms are still poorly understood. Using memory-driven reinforcement learning and deep neural networks, we developed a model that learns to navigate autonomously in biologically realistic virtual reality environments based on raw camera inputs alone. Neither is context represented explicitly in our model, nor is context change signaled. We find that memory-intact agents learn distinct context representations, and develop ABA renewal, whereas memory-impaired agents do not. These findings reproduce the behavior of control and hippocampal animals, respectively. We therefore propose that the role of the hippocampus in the context-dependence of extinction learning might stem from its function in episodic-like memory and not in context-representation per se. We conclude that context-dependence can emerge from raw visual inputs.
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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.