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Related Concept Videos

Cognitivism01:17

Cognitivism

Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process information is...
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Long-Term Memory

Long-term memory is a relatively permanent type of memory, capable of storing vast amounts of information over extended periods. Its storage capacity is generally considered unlimited.
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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Tolman introduced the idea that behavior is influenced by...
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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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...
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Explicit Memories

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The Deese-Roediger-McDermott (DRM) Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory
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The Deese-Roediger-McDermott (DRM) Task: A Simple Cognitive Paradigm to Investigate False Memories in the Laboratory

Published on: January 31, 2017

Cognitive memory.

Bernard Widrow1, Juan Carlos Aragon

  • 1ISL, Department of Electrical Engineering, Stanford University, CA, USA. widrow@stanford.edu

Neural Networks : the Official Journal of the International Neural Network Society
|March 5, 2013
PubMed
Summary
This summary is machine-generated.

A novel cognitive memory system inspired by human memory stores sensory data in patterns, not specific locations. This system utilizes artificial neural networks for efficient, unsupervised learning and retrieval, offering insights into biological memory.

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Area of Science:

  • Cognitive Science
  • Computer Science
  • Neuroscience

Background:

  • Human memory and pattern recognition are deeply interconnected.
  • Existing computer memory relies on specific data storage and retrieval methods.
  • The human mind's associative and pattern-based memory functions offer a paradigm for new computational approaches.

Purpose of the Study:

  • To devise a new form of computer memory inspired by human cognitive processes.
  • To develop a practical and useful cognitive memory system that models aspects of human memory.
  • To explore the potential of unsupervised learning in memory systems.

Main Methods:

  • Incoming sensory data is stored in available memory locations as redundant patterns.
  • Retrieval is pattern-based, initiated by current sensory inputs or patterns.
  • A retrieval system employing autoassociative artificial neural networks and exhaustive search is utilized.
  • The learning process is unsupervised, mimicking autonomous learning.

Main Results:

  • A cognitive memory system capable of storing and retrieving complex sensory patterns has been designed.
  • The system demonstrates potential for applications in visual identification, navigation, and facial recognition.
  • The study posits that long-term memory in humans may be stored in DNA/RNA, with neural networks serving retrieval functions.

Conclusions:

  • Cognitive memory systems offer a powerful alternative to traditional computer memory, leveraging pattern recognition and associative retrieval.
  • The proposed model provides a framework for understanding biological memory mechanisms, particularly the role of neural networks in retrieval.
  • Unsupervised learning is a key feature enabling cognitive memory systems to adapt and learn autonomously.