ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2012
Pattern perception and computational complexity: introduction to the special issue.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Measuring hierarchical structure across hominid percussive tool-use sequences.Communications biology · 2026Article
- Cognitive Mechanisms Underlying Recursive Pattern Processing in Human Adults.Cognitive science · 2023Article
- Comment on "Nonadjacent dependency processing in monkeys, apes, and humans".Science advances · 2021Article
- Structured Sequence Learning: Animal Abilities, Cognitive Operations, and Language Evolution.Topics in cognitive science · 2020Review
- Baboons (Papio papio) Process a Context-Free but Not a Context-Sensitive Grammar.Scientific reports · 2020Article
- Positional encoding in cotton-top tamarins (Saguinus oedipus).Animal cognition · 2019Article
- Recursion in action: An fMRI study on the generation of new hierarchical levels in motor sequences.Human brain mapping · 2019Article
- Conserved Sequence Processing in Primate Frontal Cortex.Trends in neurosciences · 2017Review
- Auditory sequence processing reveals evolutionarily conserved regions of frontal cortex in macaques and humans.Nature communications · 2015Article
- Hierarchical processing in music, language, and action: Lashley revisited.Annals of the New York Academy of Sciences · 2014Review
- Artificial grammar learning meets formal language theory: an overview.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2012Review
- On the pursuit of the brain network for proto-syntactic learning in non-human primates: conceptual issues and neurobiological hypotheses.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2012Review
- Revisiting the syntactic abilities of non-human animals: natural vocalizations and artificial grammar learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2012Review
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Authors and funding
3 authors.
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Abstract
Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using artificial grammar learning paradigms, has exploded in the last decade. This approach marries empirical research conducted by neuroscientists, psychologists and ethologists with the theory of computation and FLT, developed by mathematicians, linguists and computer scientists over the last century. Of particular current interest are comparative extensions of this work to non-human animals, and neuroscientific investigations using brain imaging techniques. We provide a short introduction to the history of these fields, and to some of the dominant hypotheses, to help contextualize these ongoing research programmes, and finally briefly introduce the papers in the current issue.
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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.