15 papers · ranked by Valyu relevance
Noémi Éltető, Dezső Nemeth, Karolina Janacsek, Peter Dayan + 1 more
'Christoph Mathys'] Humans can implicitly learn complex perceptuo-motor skills over the course of large numbers of trials. This likely depends on our becoming better able to take advantage of ever richer and temporally deeper predictive relationships in the environment. Here, we offer a novel characterization of this…
Iring Koch, Otmar Bock
Studies on sequence learning usually focus on single, isolated stimuli that are presented sequentially. For example, in the serial reaction time (RT) task, stimuli are either presented in a predictable sequence or in a random sequence, and better performance with the predictable sequence is taken as evidence for…
Susanne Dyck, Christian Klaes
Many motor actions we perform have a sequential nature while learning a motor sequence involves both implicit and explicit processes. In this work, we developed a task design where participants concurrently learn an implicit and an explicit motor sequence across five training sessions, with EEG recordings at sessions 1…
Marius Barth, Christoph Stahl, Hilde Haider
Sequence learning in the serial response time task (SRTT) is one of few learning phenomena where researchers agree that such learning may proceed in the absence of awareness, while it is also possible to explicitly learn a sequence of events. In the past few decades, research into sequence learning largely focused on…
Barna Zajzon, Renato Duarte, Abigail Morrison
To acquire statistical regularities from the world, the brain must reliably process, and learn from, spatio-temporally structured information. Although an increasing number of computational models have attempted to explain how such sequence learning may be implemented in the neural hardware, many remain limited in…
Willem B. Verwey
An exhaustive review is reported of over 25 years of research with the Discrete Sequence Production (DSP) task as reported in well over 100 articles. In line with the increasing call for theory development, this culminates into proposing the second version of the Cognitive framework of Sequential Motor Behavior (C-SMB…
Xuan Wen, Adam Neumann, Seema Dhungana, Thilo Womelsdorf + 1 more
'Simon W. Townsend'] Intelligent behavior involves mentally arranging learned information in novel ways and is particularly well developed in humans. While nonhuman primates (NHP) will learn to arrange new items in serial order and re-arrange neighboring items within that order, it has remained contentious whether they…
Leif Johannsen, Erik Friedgen, Denise Nadine Stephan, Joao Batista + 5 more
'Doreen Schulze' 'Thea Laurentius' 'Iring Koch' 'Leo Cornelius Bollheimer' 'Bradley R. King'] Sequence learning in serial reaction time tasks (SRTT) is an established, lab-based experimental paradigm to study acquisition and transfer of skill based on the detection of predictable stimulus and motor response sequences.…
Johan Lind, Anna Jon-And
Here, we explore some cognitive mechanisms that support and constrain sequential abilities in non-human animals (hereafter animals). By examining limits in memory for stimulus sequences and how behaviour sequences can be learned, we highlight the combinatorial costs that arise as sequences get increasingly longer…
Stephen Ferrigno, Samuel J. Cheyette, Susan Carey
Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains-natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown.…
Laura Ordonez Magro, Leonardo Pinto Arata, Joël Fagot, Jonathan Grainger + 1 more
'Jonathan Grainger' 'Arnaud Rey'] Title: Abstract Statistical learning allows us to implicitly create memory traces of recurring sequential patterns appearing in our environment. Here, we study the dynamics of how these sequential memory traces develop in a species of nonhuman primates (i.e., Guinea baboons, Papio…
Anna Jon-And, Markus Jonsson, Johan Lind, Stefano Ghirlanda + 2 more
'Magnus Enquist' 'Ming Bo Cai'] Human language is unique in its compositional, open-ended, and sequential form, and its evolution is often solely explained by advantages of communication. However, it has proven challenging to identify an evolutionary trajectory from a world without language to a world with language…
Jeri L. Little, Jexy A. Nepangue, Heidi Kloos
Grouping information into categories enables us to learn, integrate, and apply new information. Presenting items from different categories sequentially (i.e., interleaving) is often more effective than presenting items from a single category sequentially (i.e., blocking), particularly when evaluating learning using…
Marius Barth, Christoph Stahl, Hilde Haider
Dual-systems theories of sequence learning assume that sequence learning may proceed within a unidimensional learning system that is immune to cross-dimensional interference because information is processed and represented in dimension-specific, encapsulated modules. Important evidence for such modularity comes from…
Shuchen Wu, Mirko Thalmann, Eric Schulz
Whether it is listening to a piece of music, learning a new language, or solving a mathematical equation, people often acquire abstract notions in the sense of motifs and variables-manifested in musical themes, grammatical categories, or mathematical symbols. How do we create abstract representations of sequences? Are…