ArticleNature communications2023
Computational models of episodic-like memory in food-caching birds.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 29 citations in OpenAlex.
- Remembering the "when": Hebbian memory models for the time of past events.PLoS computational biology · 2026Article
- Episodic-like memory in a simulation of cuttlefish behavior.Scientific reports · 2025Article
- Applying movement ecology models to comparative cognition experiments: a field test in hummingbirds.Proceedings. Biological sciences · 2025Article
- Sequences and animal intelligence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Why might animals remember? A functional framework for episodic memory research in comparative psychology.Learning & behavior · 2025Review
- The Animal-AI Environment: A virtual laboratory for comparative cognition and artificial intelligence research.Behavior research methods · 2025Article
- A non-Hebbian code for episodic memory.Science advances · 2025Article
- Beyond the episodic-semantic continuum: the multidimensional model of mental representations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Article
- Sequence representation as an early step in the evolution of language.PLoS computational biology · 2023Article
- Computational models of episodic-like memory in food-caching birds.Nature communications · 2023Article
- A test of memory for stimulus sequences in great apes.PloS one · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Birds of the crow family adapt food-caching strategies to anticipated needs at the time of cache recovery and rely on memory of the what, where and when of previous caching events to recover their hidden food. It is unclear if this behavior can be explained by simple associative learning or if it relies on higher cognitive processes like mental time-travel. We present a computational model and propose a neural implementation of food-caching behavior. The model has hunger variables for motivational control, reward-modulated update of retrieval and caching policies and an associative neural network for remembering caching events with a memory consolidation mechanism for flexible decoding of the age of a memory. Our methodology of formalizing experimental protocols is transferable to other domains and facilitates model evaluation and experiment design. Here, we show that memory-augmented, associative reinforcement learning without mental time-travel is sufficient to explain the results of 28 behavioral experiments with food-caching birds.
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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.