Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Stimulus configuration, classical conditioning, and hippocampal function.

N A Schmajuk1, J J DiCarlo

  • 1Department of Psychology, Northwestern University, Evanston, Illinois 60208.

Psychological Review
|April 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Classical conditioning, signal detection, and evolution.

Behavioural processes·2014
Same author

Timing in simple conditioning and occasion setting: a neural network approach.

Behavioural processes·2014
Same author

Effects of unexpected changes in visual scenes on the human acoustic startle response and prepulse inhibition.

Behavioural processes·2011
Same author

Spatial and temporal cognitive mapping: a neural network approach.

Trends in cognitive sciences·2011
Same author

Attenuation of auditory startle and prepulse inhibition by unexpected changes in ambient illumination through dopaminergic mechanisms.

Behavioural brain research·2008
Same author

Startle and prepulse inhibition as a function of background noise: a computational and experimental analysis.

Behavioural brain research·2006
Same journal

Perception and action as one: Re-integrating research on human action through event files.

Psychological review·2026
Same journal

Associative learning explains "intuitive statistics" in animals.

Psychological review·2026
Same journal

A reciprocal model of practice and skill: Navigating between dropout and expertise.

Psychological review·2026
Same journal

The relative psychometric function: A general analysis framework for relating psychological processes.

Psychological review·2026
Same journal

A taxonomy of discriminatory behavior.

Psychological review·2026
Same journal

Extreme-value signal detection theory for recognition memory: The parametric road not taken.

Psychological review·2026
See all related articles

This study models hippocampal function in classical conditioning using a neural network. The model accurately simulates various conditioning paradigms and lesion effects, offering insights into memory and amnesia.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • The hippocampus plays a crucial role in classical conditioning.
  • Understanding hippocampal circuitry is key to explaining learning and memory.
  • Neural network models offer a framework for studying complex brain functions.

Purpose of the Study:

  • To develop a multilayer neural network model of hippocampal function in classical conditioning.
  • To simulate and analyze various classical conditioning paradigms.
  • To investigate the effects of simulated lesions on hippocampal and cortical circuits.

Main Methods:

  • A biologically plausible multilayer neural network with hidden units was designed.
  • The network was trained using a backpropagation procedure.

Related Experiment Videos

  • Simulations covered a wide range of classical conditioning paradigms, including acquisition, extinction, blocking, and generalization.
  • The model's nodes and connections were mapped to cerebellar, cortical, and hippocampal circuits.

    • Main Results:

    • The model successfully simulated numerous classical conditioning paradigms.
    • It accurately predicted the effects of hippocampal and cortical lesions on behavior.
    • Simulated neural activity in the hippocampus and medial septum aligned with experimental findings.
    • The model reproduced phenomena like blocking, overshadowing, and generalization.

    Conclusions:

    • The multilayer network model provides a robust framework for understanding hippocampal involvement in classical conditioning.
    • The model's success in simulating lesion effects supports its validity.
    • Findings may contribute to understanding anterograde amnesia in humans.