Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Computational modelling

¹Department of Computer Science, University of Toronto, Ontario, Canada.

Current Opinion in Neurobiology

|April 1, 1994

Summary

This summary is machine-generated.

Computational modeling is crucial in neuroscience, distinguishing between descriptive and functional approaches. These methods are applied to understand activity-dependent plasticity in development and adult conditioning.

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

Knowing me, knowing you: Interpersonal similarity improves predictive accuracy and reduces attributions of harmful intent.

Cognition·2022

Same author

Disrupted habenula function in major depression.

Molecular psychiatry·2016

Same author

The specificity of Pavlovian regulation is associated with recovery from depression.

Psychological medicine·2016

Same author

Memory, modelling and Marr: a commentary on Marr (1971) 'Simple memory: a theory of archicortex'.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2015

Same author

How receptor diffusion influences gradient sensing.

Journal of the Royal Society, Interface·2015

Same author

The influence of receptor positioning on chemotactic information.

Journal of theoretical biology·2014

Same journal

Cichlid fish as a model for understanding social dysfunction.

Current opinion in neurobiology·2026

Same journal

On aims and methods in field neuroethology: Investigating neural mechanisms of behavior in semi-natural and natural contexts.

Current opinion in neurobiology·2026

Same journal

Neurobiological interfaces connecting environmental change to monarch butterfly migration.

Current opinion in neurobiology·2026

Same journal

Learning how to experience the world: From circuits to cell types to genes.

Current opinion in neurobiology·2026

Same journal

Editorial overview for neurobiology of disease 2026.

Current opinion in neurobiology·2026

Same journal

Optical voltage imaging: ready to spark systems neuroscience.

Current opinion in neurobiology·2026

See all related articles

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Computational modeling is increasingly vital in neuroscience research.
A key distinction exists between descriptive and functional modeling approaches.
These modeling types are applied to study neural plasticity.

Purpose of the Study:

To highlight the growing importance of computational modeling in neuroscience.
To differentiate between descriptive and functional modeling strategies.
To illustrate the application of these modeling types in understanding neural plasticity during development and in adults.

Main Methods:

Distinguishing between descriptive and functional computational modeling.
Applying these models to analyze activity-dependent developmental plasticity.

Related Experiment Videos

Applying these models to analyze adult conditioning.

Main Results:

Computational modeling is not a monolithic field; distinct approaches exist.
Descriptive and functional modeling offer different insights into neural processes.
Both approaches are applicable to complex phenomena like plasticity.

Conclusions:

Computational modeling is a versatile and essential tool in modern neuroscience.
Understanding the distinctions between modeling types is key for effective application.
Modeling aids in elucidating mechanisms of neural plasticity across the lifespan.