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

Related Concept Videos

Associative Learning

Associative Learning

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.
Classical conditioning, also known...

Aggregates Classification

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...

Chunking

Chunking

Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
The principle behind chunking...

Morphogenesis

Morphogenesis

Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.

Higher Mental Functions of Brain: Learning and Memory

Higher Mental Functions of Brain: Learning and Memory

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...

Classification of Systems-I

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:

You might also read

Related Articles

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

Sort by

Same author

The interaction of meaning similarity and confusability explains regularity in form-meaning mappings at and below the word level.

Nature human behaviour·2026

Same author

Animal acoustic communication has a conserved optimal rhythm within the neural delta range.

PLoS biology·2026

Same author

When a helpful bias is unhelpful: Limitations in reasoning about random and deliberately misleading evidence.

Journal of experimental psychology. General·2026

Same author

Exploring Amazonian Cognitive Diversity at Chana Research Station.

Topics in cognitive science·2026

Same author

Child-Directed Speech Facilitates Semantic Role Learning: A Machine Learning Approach.

Open mind : discoveries in cognitive science·2026

Same author

An inverse correlation between structural linguistic and human genetic diversity.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same journal

Pronoun Resolution in Turkish: The Interplay of Referential Form, Word Order, and Implicit Causality.

Cognitive science·2026

Same journal

What's in a Color?: Language, Synesthesia, and Categorical Perception.

Cognitive science·2026

Same journal

Reasoning Beyond Explicit Rules: Adults' and Children's Use of Closure Principles in Novel Cases.

Cognitive science·2026

Same journal

Intermediary Object States Are Activated by Sentences Describing Completed Events.

Cognitive science·2026

Same journal

Large Language Models Estimate Fine-Grained Human Color-Concept Associations.

Cognitive science·2026

Same journal

Computational Models of Causal Reasoning: Bayesian Accounts of Normative Violations.

Cognitive science·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 3, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Category Clustering and Morphological Learning.

John Mansfield¹, Carmen Saldana^2,3, Peter Hurst¹

¹School of Languages and Linguistics, University of Melbourne.

Cognitive Science

|February 15, 2022

Summary

This summary is machine-generated.

Category clustering in word formation aids morphological learning. This study shows that consistent affix positions improve language acquisition, suggesting a bias for category clustering in human language.

Keywords:

Artificial language learning Category learning Learning biases Morphology

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

Related Experiment Videos

Last Updated: Oct 3, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

Area of Science:

Linguistics
Cognitive Science
Psychology

Background:

Inflectional affixes often occupy consistent positions within words across languages.
This tendency, known as category clustering, may be influenced by learning biases.

Purpose of the Study:

To investigate whether category clustering facilitates morphological learning.
To determine if learning biases contribute to the cross-linguistic prevalence of category clustering.

Main Methods:

An online artificial language experiment was conducted with adult English speakers.
Participants learned a miniature language with noun stems and color/number suffixes under three conditions: fixed category position, fixed affix order, and random ordering.

Main Results:

Category clustering significantly facilitated morphological learning.
Languages violating category clustering but maintaining fixed affix order were more learnable than random ordering.
Results suggest a learning bias favoring category clustering.

Conclusions:

Category clustering of inflectional affixes enhances morphological learning.
Individual biases toward category clustering may explain typological regularities in natural language affix order.