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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

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.
Tolman introduced the idea that behavior is influenced by...
Introduction to Learning01:18

Introduction to Learning

Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
Purposive Learning01:22

Purposive Learning

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 bonus...
Critical Thinking01:19

Critical Thinking

Critical thinking involves reflective and productive thinking and the evaluation of evidence. Critical thinkers seek to understand the deeper meaning of ideas, question assumptions, and make independent decisions about what to believe or do. Scientists, for instance, are often critical thinkers. Critical thinking also requires humility about what we know and don't know and the motivation to look beyond the obvious. It is essential for effective problem-solving.
Colleges and universities are...
Higher Mental Functions of Brain: Learning and Memory01:26

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 playing an...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...

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Related Experiment Video

Updated: Jun 16, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Learning as a phenomenon occurring in a critical state.

Lucilla de Arcangelis1, Hans J Herrmann

  • 1Institute Computational Physics for Engineering Materials, Eidgenössiche Technische Hochschule, Schafmattstrasse 6, 8093 Zürich, Switzerland. dearcangelis@na.infn.it

Proceedings of the National Academy of Sciences of the United States of America
|February 18, 2010
PubMed
Summary
This summary is machine-generated.

Brain activity at a critical point, exhibiting scale-free avalanches, is crucial for learning. This study demonstrates a model that replicates this critical state and successfully learns complex logical rules, challenging previous assumptions about chaotic systems.

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Area of Science:

  • Computational Neuroscience
  • Complex Systems Biology
  • Cognitive Science

Background:

  • Recent studies reveal scale-free avalanche brain activity and EEG spectra, posing a challenge for understanding how chaotic systems learn.
  • Traditional learning models, such as neural networks, often avoid the strong fluctuations characteristic of critical brain states.

Purpose of the Study:

  • To investigate the hypothesis that brain activity at a critical point is essential for learning.
  • To develop and validate a computational model that reproduces critical brain states and demonstrates learning capabilities.

Main Methods:

  • Development of a computational model simulating brain activity with scale-free avalanche dynamics.
  • Implementation of the model on a network with realistic topological properties.
  • Utilizing plastic adaptation of synaptic strengths for learning logical rules, including the exclusive OR function.

Main Results:

  • The model successfully reproduces the experimentally observed critical state of brain activity.
  • The model demonstrates the ability to learn and remember complex logical rules, overcoming limitations of previous models.
  • Learning performance and time are governed by the strength of plastic adaptation, independent of the specific task.

Conclusions:

  • Brain activity at a critical point is a key factor enabling learning and information processing.
  • The proposed model provides a framework for understanding how complex rules can be learned in systems exhibiting critical dynamics.
  • Slow plastic adaptation is crucial for learning complex rules in such systems.