BEHIND THE MAGICAL NUMBERS: HIERARCHICAL CHUNKING AND THE HUMAN WORKING MEMORY CAPACITY | Zendy

Guoqi Li | Zendy; Ning Ning | Zendy; Kiruthika Ramanathan | Zendy; Wei He | Zendy; Pan Li | Zendy; Luping Shi | Zendy

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BEHIND THE MAGICAL NUMBERS: HIERARCHICAL CHUNKING AND THE HUMAN WORKING MEMORY CAPACITY

Author(s) -

Guoqi Li,

Ning Ning,

Kiruthika Ramanathan,

Wei He,

Pan Li,

Luping Shi

Publication year - 2013

Publication title -

international journal of neural systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.376

H-Index - 63

eISSN - 1793-6462

pISSN - 0129-0657

DOI - 10.1142/s0129065713500196

Subject(s) - chunking (psychology) , working memory , computer science , content addressable memory , cognition , artificial intelligence , artificial neural network , psychology , neuroscience

To explore the influence of chunking on the capacity limits of working memory, a model for chunking in sequential working memory is proposed, using hierarchical bidirectional inhibition-connected neural networks with winnerless competition. With the assumption of the existence of an upper bound to the inhibitory weights in neurobiological networks, it is shown that chunking increases the number of memorized items in working memory from the "magical number 7" to 16 items. The optimal number of chunks and the number of the memorized items in each chunk are the "magical number 4".

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