Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach

Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach

The transfer of learning (TL) is the process of applying knowledge and skills learned in one context to a new and different context. Efficient use of memory is essential in achieving successful TL and good learning outcomes. This study uses a cognitive computing approach to identify and explore brai...

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Bibliographic Details
Main Authors: Mojgan Hafezi Fard, Krassie Petrova, Nikola Kirilov Kasabov, Grace Y. Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Big Data and Cognitive Computing
Subjects:
transfer of learning
prior knowledge
memory efficiency
cognitive load
spiking neural network
programming language
Online Access:https://www.mdpi.com/2504-2289/9/7/173
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