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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Associative learning, a core principle in behavioral psychology, involves forming connections between events and facilitating learned responses. This concept is vividly illustrated by classical conditioning, a process extensively studied by the Russian physiologist Ivan Pavlov. Pavlov's pioneering research on dogs' digestive systems led to the discovery that behaviors can be learned through association, laying the groundwork for classical conditioning.
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Trace Fear Conditioning in Mice
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Measuring learning in human classical threat conditioning: Translational, cognitive and methodological

Karita E Ojala1, Dominik R Bach2

  • 1Computational Psychiatry Research, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, University of Zurich, Lenggstrasse 31, 8032, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.

Neuroscience and Biobehavioral Reviews
|April 29, 2020
PubMed
Summary

Threat conditioning research uses various conditioned responses (CR) to study anxiety. Heart period, startle eye-blink, and Pavlovian-to-instrumental transfer best indicate amygdala-dependent threat learning.

Keywords:
Associative learningConditioned responsesFear conditioningImplicit learningInverse inferencePsychophysiologyRetrodictive validity

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Area of Science:

  • Neuroscience
  • Psychology
  • Behavioral Science

Background:

  • Threat conditioning is a key model for understanding anxiety disorders.
  • Numerous conditioned responses (CR) exist for quantifying learning in humans.
  • Existing literature offers varied insights into CR's relation to threat learning.

Purpose of the Study:

  • To review and analyze various CR used in human threat conditioning.
  • To assess if CR indicate amygdala-dependent threat learning.
  • To relate CR to formal learning models and infer threat learning.

Main Methods:

  • Narrative review of existing literature on threat conditioning CR.
  • Analysis of CR based on their relation to amygdala function, learning models, and inferential validity.
  • Consideration of specific CR including heart period, skin conductance, startle eye-blink, and pupil size.

Main Results:

  • Heart period, startle eye-blink, and Pavlovian-to-instrumental transfer are strongly linked to amygdala-dependent threat learning.
  • Skin conductance responses (SCR) are most studied in relation to formal learning models, reflecting threat prediction and uncertainty.
  • Startle eye-blink and pupil size show promise in differentiating conditioned stimuli (CS+/CS-), though direct comparisons are limited.

Conclusions:

  • Not all CR equally inform about amygdala-dependent threat learning or formal learning models.
  • Specific CR like heart period and startle eye-blink offer robust measures for threat learning research.
  • Future research should focus on improving the quantification and comparative analysis of CR in threat conditioning.