Two simple NeuroCognitive associative memory models
Conference poster
Huyck, C. and Ji, Y. 2018. Two simple NeuroCognitive associative memory models. International Conference on Cognitive Modeling 2018. Madison Wisconsin 20 - 24 Jul 2018 pp. 31-36
Type | Conference poster |
---|---|
Title | Two simple NeuroCognitive associative memory models |
Authors | Huyck, C. and Ji, Y. |
Abstract | Human memory is associative and emerges from the behaviour of neurons. Two models, based on commonly used biological neural models are presented. The first model uses static synapses to approximate timing behaviour for a Stroop task with congruent conditions responding faster than incongruent conditions. The second model uses plastic synapses to learn a semantic net; it then duplicates the behaviour of a question answering task. This behaviour not only answers correctly, its times are similar to that of human subjects. These models are flawed in many ways, for instance, they use hundreds of neurons instead of the billions of neurons in the brain. They are thus not proposed as anything near a complete final model, but instead as early steps toward the development of more sophisticated neurocognitive associative memory models. |
Research Group | Artificial Intelligence group |
Conference | International Conference on Cognitive Modeling 2018 |
Page range | 31-36 |
ISBN | |
Hardcover | 9780998508221 |
Publication dates | |
Online | 19 Jul 2018 |
Publication process dates | |
Deposited | 11 Sep 2018 |
Accepted | 01 Jun 2018 |
Output status | Published |
Copyright Statement | (C) Copyright 2018 retained by the authors. |
Web address (URL) | https://iccm-conference.neocities.org/2018/proceedings/ICCM%202018%20Proceedings.pdf |
Language | English |
Book title | Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018) |
https://repository.mdx.ac.uk/item/87x3z
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