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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

461
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...
461
Purposive Learning01:22

Purposive Learning

174
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...
174
Implicit Memories01:24

Implicit Memories

160
Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
160
Associative Learning01:27

Associative Learning

472
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...
472
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

258
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
258
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

909
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...
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Related Experiment Video

Updated: Aug 2, 2025

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

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

Published on: February 8, 2019

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Passive exposure to task-relevant stimuli enhances categorization learning.

Christian Schmid1, Muhammad Haziq1, Melissa M Baese-Berk2

  • 1Institute of Neuroscience, University of Oregon. Eugene, OR 97403.

Biorxiv : the Preprint Server for Biology
|April 17, 2023
PubMed
Summary
This summary is machine-generated.

Passive stimulus exposure significantly accelerates learning in perceptual decision tasks for mice and neural networks. This effect holds true whether exposure precedes or is interleaved with active training, optimizing learning efficiency.

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Area of Science:

  • Neuroscience
  • Machine Learning
  • Cognitive Science

Background:

  • Perceptual decision-making is typically learned through effortful practice and feedback.
  • The role of passive, feedback-free stimulus exposure in active learning remains underexplored.

Conclusions:

  • Passive stimulus exposure is a powerful modulator of active learning, enhancing efficiency in perceptual tasks.
  • Training schedules integrating passive exposure can significantly reduce the time and effort required for learning.
  • Findings offer insights for designing optimized training protocols for both biological and artificial learning systems.