Nonhuman primates learn adjacent dependencies but fail to learn nonadjacent dependencies in a statistical learning task with a salient cue

Bowden, Maisy D.; Whitham, Will; Conway, Christopher M.; Beran, Michael J.; Washburn, David A.

doi:10.3758/s13420-021-00485-2

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…All aforementioned constraints may be considered a type of attentional cues that help highlight the relevant relations for NAD learning. However, eliciting attention to the relevant elements does not seem to benefit NAD learning for nonhuman primates (Englund, Whitham, Conway, Beran, & Washburn, 2022).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Motion and Human Agents Facilitate Visual Nonadjacent Dependency Learning

Lu,

Mintz

2023

Cognitive Science

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Many events that humans and other species experience contain regularities in which certain elements within an event predict certain others. While some of these regularities involve tracking the co‐occurrences between temporally adjacent stimuli, others involve tracking the co‐occurrences between temporally distant stimuli (i.e., nonadjacent dependencies, NADs). Prior research shows robust learning of adjacent dependencies in humans and other species, whereas learning NADs is more difficult, and often requires support from properties of the stimulus to help learners notice the NADs. Here, we report on seven experiments that examined NAD learning from various types of visual stimuli, exploring the effects of dynamic motion on adults' NAD learning from visual sequences involving human and nonhuman agents. We tested adults' NAD learning from visual sequences of human actions, object transformations, static images of human postures, and static images of an object in different postures. We found that dynamic motion aids the acquisition of NADs. We also found that learning NADs in sequences involving human agents is more robust compared to sequences involving nonhuman objects. We propose that dynamic motion and human agents both independently result in richer representations that provide a stronger signal for NAD learning.

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Section: Introductionmentioning

confidence: 99%

Dynamic Motion and Human Agents Facilitate Visual Nonadjacent Dependency Learning

Lu,

Mintz

2023

Cognitive Science

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A neurophysiological perspective on the integration between incidental learning and cognitive control

Takács

Beste

2023

Commun Biol

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Adaptive behaviour requires interaction between neurocognitive systems. Yet, the possibility of concurrent cognitive control and incidental sequence learning remains contentious. We designed an experimental procedure of cognitive conflict monitoring that follows a pre-defined sequence unknown to participants, in which either statistical or rule-based regularities were manipulated. We show that participants learnt the statistical differences in the sequence when stimulus conflict was high. Neurophysiological (EEG) analyses confirmed but also specified the behavioural results: the nature of conflict, the type of sequence learning, and the stage of information processing jointly determine whether cognitive conflict and sequence learning support or compete with each other. Especially statistical learning has the potential to modulate conflict monitoring. Cognitive conflict and incidental sequence learning can engage in cooperative fashion when behavioural adaptation is challenging. Three replication and follow-up experiments provide insights into the generalizability of these results and suggest that the interaction of learning and cognitive control is dependent on the multifactorial aspects of adapting to a dynamic environment. The study indicates that connecting the fields of cognitive control and incidental learning is advantageous to achieve a synergistic view of adaptive behaviour.

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Nonhuman primates learn adjacent dependencies but fail to learn nonadjacent dependencies in a statistical learning task with a salient cue

Cited by 2 publications

References 34 publications

Dynamic Motion and Human Agents Facilitate Visual Nonadjacent Dependency Learning

Dynamic Motion and Human Agents Facilitate Visual Nonadjacent Dependency Learning

A neurophysiological perspective on the integration between incidental learning and cognitive control

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