Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.584706
Title: Associative analysis of spatial learning in environments with a distinctive shape
Author: Horne, Murray R.
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2009
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Abstract:
The aim of this thesis was to evaluate the proposal by Miller and Shettleworth (2007) that learning about geometric cues in environments with a distinctive shape is governed by a competitive learning rule (e.g., Rescorla & Wagner, 1972). To do this, in all experiments, rats were trained to locate a hidden platform by reference to the shape of a swimming pool. Chapter 2 (Experiments 1 -4) assessed whether a landmark suspended above the platform would overshadow learning about geometric cues. No overshadowing was recorded, even when the salience of the geometric cues was reduced. These findings are inconsistent with the model of Miller and Shettleworth (2007). In Chapter 3 (Experiments 5-7), a blocking paradigm was used. When rats were given extended pre-training with a landmark above the platform, only then did the landmark successfully block learning about geometric cues. However, some unexpected findings suggested that perhaps the spatial cues were competing for attention rather than associative strength. The experiments in Chapter 4 (Experiments 8 and 9) successfully demonstrated superconditioning of geometric cues by an inhibitory landmark providing convincing evidence that learning about geometric cues is governed by the principles of associative learning. Miller and ShettlewortiVs (2007) model however, failed to predict this outcome. Experiments 10-13 in Chapters 5 and 6 showed that associations formed between geometric and non-geometric cues. This outcome provides the basis for a viable explanation for potentiation and for the past failures to find cue competition in the spatial domain. The empirical findings of this thesis show that learning about geometric cues is not entirely void of associative processes as once thought. A number of recent models of spatial learning are discussed.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.584706  DOI: Not available
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