000000334 001__ 334
000000334 005__ 20260410124445.0
000000334 0247_ $$2DOI$$a10.6083/M4PZ56SC
000000334 037__ $$aETD
000000334 245__ $$aAssociative memory as a Bayesian building block
000000334 260__ $$bOregon Health and Science University
000000334 269__ $$a2008
000000334 336__ $$aDissertation
000000334 502__ $$bPh.D.
000000334 502__ $$gComputer Science &amp; Electrical Engineering (sunsetting)
000000334 520__ $$aLearning in neural systems relies on forming associative memories through changes in synaptic connections, enabling information retrieval via learned associations. This thesis examines the Palm network as a biologically inspired associative memory model that approximates Bayesian inference in a distributed manner. We analyze its computational properties, including scalability, stability, fault tolerance, and parallel processing, and interpret its operation as a Voronoi‑based classifier. Extensions to weighted regions, reinforcement learning, and spiking neuron implementations are explored. Building on this analysis, we propose a Bayesian Memory framework that supports hierarchical organization, bidirectional information flow, and efficient data reduction, providing a theoretical foundation for scalable associative memory networks capable of supporting cognitive‑level processing.
000000334 540__ $$fCC BY
000000334 542__ $$fIn copyright - single owner
000000334 650__ $$aCognition$$016868
000000334 650__ $$aDecision Theory$$017422
000000334 650__ $$aInformation Storage and Retrieval$$028998
000000334 650__ $$aBayes Theorem$$015392
000000334 650__ $$aAssociation Learning$$015164
000000334 6531_ $$ahierarchical associative networks
000000334 6531_ $$abayesian memory
000000334 6531_ $$avector quantization
000000334 691__ $$aSchool of Medicine$$041369
000000334 692__ $$aDepartment of Science and Engineering$$041447
000000334 7001_ $$aZhu, Shaojuan$$uOregon Health and Science University$$041354
000000334 7201_ $$aHammerstrom, Dan$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000334 8564_ $$9ae605432-6d9a-4abe-b477-ef9ac9332dbd$$s648327$$uhttps://digitalcollections.ohsu.edu/record/334/files/335_etd.pdf$$ePublic$$24cd71399b52bec3a17dd0ffd04b2df58$$31
000000334 901__ $$a&lt;p&gt;These documents are archival records. They are retained for historical reference only. &lt;/p&gt;&lt;p&gt;&lt;b&gt;Need an accessible version? Use the ‘Get Accessible Copy’ link above.&lt;/b&gt;&lt;/p&gt;
000000334 905__ $$a/rest/prod/pz/50/gw/09/pz50gw09d
000000334 909CO $$ooai:digitalcollections.ohsu.edu:334$$pstudent-work
000000334 956__ $$aGet Accessible Copy$$uhttps://ohsu.libwizard.com/f/requestaccessibledocument
000000334 980__ $$aTheses and Dissertations