Publication Type
Transcript
Version
publishedVersion
Publication Date
8-2014
Abstract
Current memory technologies have experienced significant progress in terms of storage capacity, operation speed, integration capability, etc. However, their functions are highly constrained in storing and transferring data in space and time, prompting the need for improvement. In contrast to physical memories, the biological counterpart – cognitive memory – has versatile functions. For instance, human memory stores data associatively such that different modalities of data could be retrieved simultaneously; it can learn different concepts, categorize and store them in an organized manner; it can process and store data concurrently and in a distributed fashion; it can restore content even if some part is damaged; it can perceive the stimulus and predict the next event; it can adapt to the environment and perform selective storage. Functions such as adaptation, learning, perception, self-organization and prediction make human memory have distinct cognitive features. However, the mechanisms how human memory cognitively operates and the ways how to utilize the bio-inspired mechanisms to practical applications are rarely known, yet urgently demanded.
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Neurocomputing
Volume
138
First Page
1
Last Page
2
ISSN
0925-2312
Identifier
10.1016/j.neucom.2014.02.010
Publisher
Elsevier
Citation
TANG, Huajin; RAMANATHAN, Kiruthika; and NIGN, Ning.
Guest editorial: Special issue on brain inspired models of cognitive memory. (2014). Neurocomputing. 138, 1-2.
Available at: https://ink.library.smu.edu.sg/sis_research/7390
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.neucom.2014.02.010