ArticleThe European journal of neuroscience2015
Mixed-complexity artificial grammar learning in humans and macaque monkeys: evaluating learning strategies.
Article in The European journal of neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- Exploring Variation Between Artificial Grammar Learning Experiments: Outlining a Meta-Analysis Approach.Topics in cognitive science · 2020Pooled it
- Learning regularities in noise engages both neural predictive activity and representational changes.Nature communications · 2026Article
- Abstract rule learning and generalization in human and nonhuman primates.Scientific reports · 2025Article
- Addressing the theory crisis in statistical learning research.NPJ science of learning · 2025Review
- The Lifetime of Sequential Memory Traces in the Absence of Language.Cognitive science · 2025Article
- Altered hierarchical auditory predictive processing after lesions to the orbitofrontal cortex.eLife · 2024Article
- Assessing serial recall as a measure of artificial grammar learning.Frontiers in psychology · 2024Article
- Simple questions on simple associations: regularity extraction in non-human primates.Learning & behavior · 2023Article
- On the role of interference in sequence learning in Guinea baboons (Papio papio).Learning & behavior · 2023Article
- Exploring the neurobiology of Merge at a basic level: insights from a novel artificial grammar paradigm.Frontiers in psychology · 2023Article
- Nonhuman primates learn adjacent dependencies but fail to learn nonadjacent dependencies in a statistical learning task with a salient cue.Learning & behavior · 2022Article
- Chimpanzees produce diverse vocal sequences with ordered and recombinatorial properties.Communications biology · 2022Article
- Neural processes underlying statistical learning for speech segmentation in dogs.Current biology : CB · 2021Article
- MRI monitoring of macaque monkeys in neuroscience: Case studies, resource and normative data comparisons.NeuroImage · 2021Article
- Structured Sequence Learning: Animal Abilities, Cognitive Operations, and Language Evolution.Topics in cognitive science · 2020Review
- Non-adjacent Dependency Learning in Humans and Other Animals.Topics in cognitive science · 2020Review
- Anterior temporal lobe is necessary for efficient lateralised processing of spoken word identity.Cortex; a journal devoted to the study of the nervous system and behavior · 2020Article
- Capacities and neural mechanisms for auditory statistical learning across species.Hearing research · 2019Review
- Auditory and Visual Sequence Learning in Humans and Monkeys using an Artificial Grammar Learning Paradigm.Neuroscience · 2018Article
- Evolutionarily conserved neural signatures involved in sequencing predictions and their relevance for language.Current opinion in behavioral sciences · 2018Review
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Artificial grammars (AG) can be used to generate rule-based sequences of stimuli. Some of these can be used to investigate sequence-processing computations in non-human animals that might be related to, but not unique to, human language. Previous AG learning studies in non-human animals have used different AGs to separately test for specific sequence-processing abilities. However, given that natural language and certain animal communication systems (in particular, song) have multiple levels of complexity, mixed-complexity AGs are needed to simultaneously evaluate sensitivity to the different features of the AG. Here, we tested humans and Rhesus macaques using a mixed-complexity auditory AG, containing both adjacent (local) and non-adjacent (longer-distance) relationships. Following exposure to exemplary sequences generated by the AG, humans and macaques were individually tested with sequences that were either consistent with the AG or violated specific adjacent or non-adjacent relationships. We observed a considerable level of cross-species correspondence in the sensitivity of both humans and macaques to the adjacent AG relationships and to the statistical properties of the sequences. We found no significant sensitivity to the non-adjacent AG relationships in the macaques. A subset of humans was sensitive to this non-adjacent relationship, revealing interesting between- and within-species differences in AG learning strategies. The results suggest that humans and macaques are largely comparably sensitive to the adjacent AG relationships and their statistical properties. However, in the presence of multiple cues to grammaticality, the non-adjacent relationships are less salient to the macaques and many of the humans.
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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.