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Introduction to Learning01:18

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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.
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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...
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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...
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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Piaget's Stage 1 of Cognitive Development01:14

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Piaget's Theory of Cognitive Development from Childhood into Adulthood01:25

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Jean Piaget's theory of cognitive development emphasizes the role of thinking in a child's learning process, suggesting that children are naturally curious about their environment. His approach to development is discontinuous, proposing that cognitive abilities progress through distinct stages, each with unique characteristics. Central to Piaget's theory is schemata—mental structures that allow individuals to understand and interpret the world.
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Related Experiment Video

Updated: Apr 30, 2026

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
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Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

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Learning and control of exploration primitives.

Goren Gordon1, Ehud Fonio, Ehud Ahissar

  • 1Adaptive Perceptual Processing Lab, Weizmann Institute of Science, Department of Neuro biology, Rehovot, Israel, goren@gorengordon.com.

Journal of Computational Neuroscience
|May 7, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel computational framework for animal exploration behavior, maintaining constant novelty through learned motor primitives and reinforcement learning. The model successfully explains rodent whisking behaviors in new environments.

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Area of Science:

  • Computational neuroscience
  • Animal behavior modeling
  • Robotics

Background:

  • Animals exhibit cautious exploration, balancing curiosity with retreat.
  • Existing models lack a unified framework for novelty-driven exploration.

Purpose of the Study:

  • To present a formal framework for exploration behavior that maintains constant novelty.
  • To demonstrate the emergence of exploration motor primitives through reinforcement learning.
  • To enable transference of learned behaviors to novel environments.

Main Methods:

  • Developed a reinforcement learning framework with information gain as intrinsic reward.
  • Implemented local, ego-centric actors and critics for environmental transference.
  • Modeled the rodent's whisking system to validate the framework.

Main Results:

  • The framework generates exploration behavior maintaining a constant level of novelty.
  • Learned exploration motor primitives facilitate adaptation to new environments.
  • The model accurately reproduces characteristic rodent whisking behaviors.

Conclusions:

  • The proposed framework offers a unified approach to understanding and modeling exploration.
  • Adaptive parameters and emergent primitives enhance the model's applicability.
  • This work provides insights into the computational principles underlying animal exploration.