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Related Concept Videos

Associative Learning01:27

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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.
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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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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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Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks.

Shanmuga Venkatachalam1, Harideep Nair1, Ming Zeng1

  • 1Department of ECE, Carnegie Mellon University, Pittsburgh, PA, United States.

Frontiers in Big Data
|March 27, 2023
PubMed
Summary
This summary is machine-generated.

This study corrects a previously published article DOI. The correction ensures accurate citation and referencing for future research in data science.

Area of Science:

  • Data Science
  • Scientific Publishing
Keywords:
artificial intelligencedeep belief networkshuman activity recognitioninternet of thingsmultimodal sensingsemantic mid-level featuresubiquitous computing

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