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System of Memory

System of Memory

Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...

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Related Experiment Video

Updated: Feb 2, 2026

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Memory systems 2018 - Towards a new paradigm.

J Ferbinteanu¹

¹Dept. of Physiology and Pharmacology, Dept. of Neurology, SUNY Downstate Medical Center, 450 Clarkson Ave, Box 31, Brooklyn, NY 11203, USA.

Neurobiology of Learning and Memory

|November 16, 2018

Summary

The multiple memory systems theory (MMS) is challenged by new findings. A dynamic network model suggests memory systems can flexibly interact, integrating modular brain architecture with empirical data.

Keywords:

Affective memory Amygdala Cognitive memory Cue-response associations Dorsal striatum Dynamic networks Habits Hippocampus Memory architecture Memory systems Place learning Response learning Spatial memory Spatial navigation

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Last Updated: Feb 2, 2026

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

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Published on: July 16, 2015

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

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Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Using a Classroom-Based Deese Roediger McDermott Paradigm to Assess the Effects of Imagery on False Memories

Published on: November 14, 2018

Area of Science:

Neuroscience
Cognitive Psychology

Background:

The multiple memory systems theory (MMS) has long proposed distinct, parallel brain modules for memory.
Evidence primarily relied on dissociations showing selective memory deficits after brain damage.

Purpose of the Study:

To address empirical challenges to the MMS theory.
To propose a dynamic network perspective for memory architecture.

Main Methods:

Conceptual integration of dynamic network theory with modular memory architecture.
Reinterpreting existing empirical data within a network framework.

Main Results:

Memory systems are not always strictly dissociable, challenging traditional MMS tenets.
A dynamic network model allows for transient coupling and reconfiguration of memory networks.
This model reconciles modularity with observed interactions between memory systems.

Conclusions:

The dynamic network perspective offers a flexible framework for understanding memory systems.
It accommodates evidence of memory system interactions and integration.
This approach can guide future research on memory manipulation and control.