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Related Concept Videos

Implicit Memories01:24

Implicit Memories

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Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
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Purposive Learning01:22

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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...
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Assessing Spatial Learning and Memory in Small Squamate Reptiles
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Explicit attentional goals unlock implicit spatial statistical learning.

Ziyao Zhang1, Nancy B Carlisle1

  • 1Department of Psychology, Lehigh University.

Journal of Experimental Psychology. General
|April 13, 2023
PubMed
Summary
This summary is machine-generated.

People can flexibly update spatial attention based on current goals, not just persistent biases. This goal-specific probability cueing allows rapid adaptation to changing environments by learning target locations.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Perception

Background:

  • Implicitly learned spatial biases in visual search are persistent and transferable.
  • Persistent attentional biases conflict with dynamic, real-world goal changes.
  • A need exists for flexible attentional mechanisms adapting to evolving objectives.

Purpose of the Study:

  • To investigate a goal-specific probability cueing mechanism for flexible spatial attention.
  • To determine if participants can learn and utilize target-specific spatial priority maps.
  • To explore the adaptability of statistical learning in visual search.

Main Methods:

  • Five experiments (N=24 each) tested participants' ability to learn and use target-specific spatial probability maps.
  • Controlled for intertrial priming and confirmed early attentional guidance effects.
  • Assessed complex spatial distributions and differentiated attentional templates from associative learning.

Main Results:

  • Participants showed faster target detection at target-specific high-probability locations, indicating goal-specific probability cueing.
  • The effect persisted across complex spatial distributions (four locations).
  • Findings confirmed the mechanism relies on attentional templates, not associative learning.

Conclusions:

  • A flexible goal-specific probability cueing mechanism allows dynamic updating of spatial attention.
  • Statistical learning can be modulated by current goals, demonstrating adaptive attentional control.
  • This mechanism integrates feature-based and location-based attention for efficient visual search.