DMCA
The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons
| Citations: | 2 - 0 self |
BibTeX
@MISC{Choo_theordinal,
author = {Feng-xuan Choo},
title = {The Ordinal Serial Encoding Model: Serial Memory in Spiking Neurons},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. In a world dominated by temporal order, memory capable of processing, encoding and subsequently recalling ordered information is very important. Over the decades this memory, known as serial memory, has been extensively studied, and its effects are well known. Many models have also been developed, and while these models are able to reproduce the behavioural effects observed in human recall studies, they are not always implementable in a biologically plausible manner. This thesis presents the Ordinal Serial Encoding model, a model inspired by biology and designed with a broader view of general cognitive architectures in mind. This model has the advantage of simplicity, and we show how neuro-plausibility can be achieved by employing the principles of the Neural Engineering Framework in the model’s design. Additionally, we demonstrate that not only is the model able to closely mirror human performance in various recall tasks, but the behaviour of the model is itself a consequence of the underlying neural architecture. iii Acknowledgements
Keyphrases
serial memory ordinal serial encoding model plausible manner behavioural effect neural engineering framework mirror human performance various recall task human recall study temporal order required final revision general cognitive architecture iii acknowledgement many model model design underlying neural architecture
