Adding a bias to vector models of association memory provides item memory for free

DOI10.1016/J.JMP.2020.102358zbMath1448.91239OpenAlexW3019442560MaRDI QIDQ2197104

Kelvin E. Jones, Kaiyuan Xu, Sucheta Chakravarty, Jeremy B. Caplan

Publication date: 4 September 2020

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2020.102358

zbMATH Keywords

association memoryitem memorytwo-layer spiking-neuron network model

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Memory and learning in psychology (91E40)

Cites Work

• Unnamed Item
• Expectation and variance of item resemblance distributions in a convolution-correlation model of distributed memory
• A distributed representation of temporal context

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