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Stimulus learning, response learning, and associative learning in paired-associate anticipation /Graf, Stephen Arthur,1943- January 1971 (has links)
No description available.
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Associative learning theory and decay of persuasion /Baumgardner, Michael Harry January 1978 (has links)
No description available.
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Stapled Stock = (Verbundaktien) /Bornscheid, Jens. January 2006 (has links) (PDF)
Univ., Diss.--Frankfurt (Main), 2005. / Literaturverz. S. XIII - XXXIII.
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Paired-associates learning as a function of the number of response alternatives in the training listAnderson, Donald Gene. January 1955 (has links)
Call number: LD2668 .T4 1955 A53 / Master of Science
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Aspects of purine receptor function in hippocampal slicesNikbakht, Mohammad-Reza January 2001 (has links)
No description available.
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A Test of Incremental and All-or-None Theories of Acquisition by a Measure of Retention of Paired-Associate LearningBreckenridge, Robert L. 08 1900 (has links)
Recent research has found that subjects learning a list of paired-associates under conditions requiring one-trial learning are capable of learning a list of paired items in as few a number of trials as subject learning similar lists of paired-associates under a condition using repetition.
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The Effect of Meaningfulness and Position on Cue Selection in Verbal Paired-Associate Learning of ChildrenMolavi, Hossein 12 1900 (has links)
The purpose of this study was to determine the effects of stimulus meaningfulness and position on the cue selection of elementary school children in verbal paired-associate learning.
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Contributions to Gene Set Analysis of Correlated, Paired-Sample Transcriptome Data to Enable Precision MedicineSchissler, Alfred Grant, Schissler, Alfred Grant January 2017 (has links)
This dissertation serves as a unifying document for three related articles developed during my dissertation research. The projects involve the development of single-subject transcriptome (i.e. gene expression data) methodology for precision medicine and related applications. Traditional statistical approaches are largely unavailable in this setting due to prohibitive sample size and lack of independent replication. This leads one to rely on informatic devices including knowledgebase integration (e.g., gene set annotations) and external data sources (e.g., estimation of inter-gene correlation). Common statistical themes include multivariate statistics (such as Mahalanobis distance and copulas) and large-scale significance testing. Briefly, the first work describes the development of clinically relevant single-subject metrics of gene set (pathway) differential expression, N-of-1-pathways Mahalanobis distance (MD) scores. Next, the second article describes a method which overcomes a major shortcoming of the MD framework by accounting for inter-gene correlation. Lastly, the statistics developed in the previous works are re-purposed to analyze single-cell RNA-sequencing data derived from rare cells. Importantly, these works represent an interdisciplinary effort and show that creative solutions for pressing issues become possible at the intersection of statistics, biology, medicine, and computer science.
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Imagery as a mnemonic aid after left temporal lobectomy.Jones, Marilyn K. January 1971 (has links)
No description available.
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Relative contingency learning in Pavlovian conditioningMurphy, Robin A. J. January 1999 (has links)
No description available.
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