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Related Concept Videos

Sequences01:29

Sequences

Sequences are fundamental mathematical objects consisting of ordered lists of numbers that follow a specific rule or pattern. Sequences are critical in various mathematical concepts, including calculus, series, and number theory. They can model real-world phenomena such as population growth, financial investments, and physical processes like the diminishing height of a bouncing ball.Each number in a sequence is referred to as a term. Typically, the terms are denoted as a1, a2, a3,…, where the...
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Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Observational Learning01:12

Observational Learning

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Associative Learning01:27

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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
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Per-Unit Sequence Models

An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
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The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Implicit sequence learning in a search task.

Luis Jimenez1, Gustavo A Vazquez

  • 1Facultad de Psicología, Universidad de Santiago, Santiago de Compostela, Spain. jimenez@usc.es

Quarterly Journal of Experimental Psychology (2006)
|October 23, 2008
PubMed
Summary
This summary is machine-generated.

Selection demands do not impact implicit sequence learning. Even with complex search tasks, implicit learning remained consistent, suggesting it is unaffected by perceptual load.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience

Background:

  • Implicit sequence learning refers to the unconscious acquisition of sequential regularities.
  • Understanding how external factors, like selection demands, influence this process is crucial for cognitive models.
  • Previous research has explored various factors affecting learning, but the impact of perceptual load remains debated.

Purpose of the Study:

  • To investigate the effect of selection demands on implicit sequence learning.
  • To compare sequence learning under high perceptual load (search task) versus low perceptual load (central or variable location tasks).
  • To determine if implicit learning is modulated by the difficulty of selecting targets.

Main Methods:

  • Participants performed a sequential response task under three conditions: a search condition with distractors, a central location control, and a variable location control.
  • Sequence learning was assessed using indirect measures and a cued-generation task.
  • Sequence validity was manipulated during a test phase to examine the expression of learning.

Main Results:

  • Sequence learning occurred in all conditions and was comparable between the two variable location conditions, irrespective of perceptual demands.
  • Greater learning effects were observed in the central location condition.
  • Learning effects in the central location selectively diminished when sequence validity was reduced.

Conclusions:

  • Implicit sequence learning is robust and not significantly affected by selection difficulty or perceptual load.
  • The central location condition likely involved a mixture of implicit and explicit learning processes.
  • Explicit learning mechanisms may be more susceptible to changes in sequence validity and task demands.