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Related Concept Videos

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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Purposive Learning01:22

Purposive Learning

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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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Associative Learning01:27

Associative Learning

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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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Higher Mental Functions of Brain: Learning and Memory01:26

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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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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Long-term Potentiation01:25

Long-term Potentiation

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
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Updated: May 1, 2026

Irrelevant Stimuli and Action Control: Analyzing the Influence of Ignored Stimuli via the Distractor-Response Binding Paradigm
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Irrelevant Stimuli and Action Control: Analyzing the Influence of Ignored Stimuli via the Distractor-Response Binding Paradigm

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Implicit visual learning: how the task set modulates learning by determining the stimulus-response binding.

Hilde Haider1, Katharina Eberhardt1, Sarah Esser1

  • 1Department of Psychology, University of Cologne, Germany.

Consciousness and Cognition
|April 22, 2014
PubMed
Summary
This summary is machine-generated.

Selective attention to response dimensions in implicit learning is crucial. When attention is not directed to the correct response, sequence learning is significantly reduced, impacting adaptation to environmental regularities.

Keywords:
Explicit knowledge acquisitionImplicit learningPerceptual learningResponse–effect learningSelective attentionSerial reaction time taskStimulus–response binding

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Learning Sciences

Background:

  • Implicit learning underpins adaptation to environmental regularities.
  • Selective attention acts as a constraint on implicit learning flexibility.
  • Stimulus-to-response binding dictates attentional focus on stimuli and responses.

Purpose of the Study:

  • To investigate the influence of stimulus-response binding on sequence learning.
  • To determine if attention to the relevant response dimension affects implicit sequence learning.
  • To explore the relationship between attention, implicit, and explicit knowledge development.

Main Methods:

  • Utilized a serial reaction time task with a visual sequence.
  • Manipulated attentional focus on relevant response dimensions across experiments.
  • Assessed sequence learning and the development of explicit knowledge.

Main Results:

  • Visual sequence learning was diminished when participants did not attend to the relevant response dimension.
  • Attention to the relevant response dimension enhanced explicit knowledge development.
  • Implicit knowledge development remained unaffected by attention to the relevant response dimension in one experiment.

Conclusions:

  • Stimulus-response binding, specifically attentional focus, significantly modulates sequence learning.
  • Findings challenge the notion that explicit learning solely arises from strengthening sequence representations.
  • Understanding attentional constraints is key to optimizing implicit learning processes.