Associative memory with biologically-inspired cell assemblies

Conference paper


Ji, Y., Gamez, D. and Huyck, C. 2024. Associative memory with biologically-inspired cell assemblies. Samsonovich, A.V. and Liu, T. (ed.) 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, the 14th Annual Meeting of the BICA Society (BICA*AI 2023). Ningbo, China 13 - 15 Oct 2023 Springer. pp. 422-428 https://doi.org/10.1007/978-3-031-50381-8_43
TypeConference paper
TitleAssociative memory with biologically-inspired cell assemblies
AuthorsJi, Y., Gamez, D. and Huyck, C.
Abstract

Associative memory is a central cognitive task. However, the actual biological architecture that supports this memory is not currently known, so simulating with biologically plausible neurons and topologies is an ideal mechanism to improve understanding of associative memory. Simulations of spiking networks that per-form associative memory tasks lay the groundwork for utilizing biological neurons in cognitive tasks. Specifically, this paper explores simulations of spiking networks that perform associative memory tasks using Hebbian cell assemblies of neurons to represent nodes and synapses to represent associations. The first tasks use binary cell assemblies to perform two well-known cognitive tasks. Then the paper examines different topologies of excitatory neurons for basic assemblies and their performance as short-term memory. Lastly, larger assemblies are associated in 2/3 sets, where two active elements can retrieve the third. Future research is proposed to explore the potential use of these assemblies and associations in cognitive tasks. By investigating biologically and cognitively plausible topologies, learning, and neurons, simulations will lead to an improved under-standing of neuro-cognition, and potentially to systems that surpass the brittleness and domain specificity of current AI systems.

KeywordsCell Assemblies; Neurocognitive Model; Stroop Task; Associative Memory; Spiking Network
Sustainable Development Goals16 Peace, justice and strong institutions
Middlesex University ThemeHealth & Wellbeing
Research GroupArtificial Intelligence group
LanguageEnglish
Conference2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, the 14th Annual Meeting of the BICA Society (BICA*AI 2023)
Page range422-428
Proceedings TitleBiologically Inspired Cognitive Architectures 2023: Proceedings of the 14th Annual Meeting of the BICA Society
SeriesStudies in Computational Intelligence series
EditorsSamsonovich, A.V. and Liu, T.
ISSN1860-949X
1860-9503
ISBN9783031503801
Paperback9783031503832
Electronic9783031503818
PublisherSpringer
Publication dates
Online14 Feb 2024
Print14 Feb 2024
Publication process dates
Accepted15 Jun 2023
Deposited17 Aug 2023
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

This version of the paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-50381-8_43

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-50381-8_43
Web address (URL) of conference proceedingshttps://link.springer.com/book/9783031503801
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