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No description available.

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No description available.

Distortions in the perception of time historically have been associated with dissociation and psychosis in clinical populations. However, the relations among dissociation, psychosis, and time perception in sub-clinical populations have not been investigated. In the present study, college undergraduates scoring either normally or deviantly high on the Per-Mag were given a Dissociative Experiences Scale (DES) and a computerized time-estimation/production task. Participants scoring high on the Per-Mag obtained higher scores on the DES than participants scoring low on the Per- Mag. Per-Mag scores also correlated positively with DES scores across 608 total participants screened. The relation between dissociative and psychotic symptomatology is discussed considering dichotomous versus continuous conceptualizations of psychopathology. The effects of intelligence, social desirability, malingering, gender, and post-traumatic stress on the measures used are also discussed.

This thesis investigates a new model of non-normative prediction that addresses the contribution of width of temporal perspective to intuitive prediction. Intuitive prediction is defined in this thesis as the non-normative prediction of other's behaviour. This new model of intuitive prediction is termed the Temporal Perspective Model (TPM). The notion of temporal perspective expands upon the understanding of intuitive prediction provided by several major social and cognitive theories of the judgement process. TPM asserts that utilisation of the triad of past temporal perspective, present temporal perspective and future temporal perspective increases accuracy of intuitive prediction in judgement contexts. Past and future temporal perspectives are used through the generation and rehearsal of both experience-acquired and novel, possible judgement strategies outside of the actual judgement context (GIOA). Present temporal perspective (PTP) plays a mediating role in the expression of the products of this process within the judgement context. TPM posits that the width of temporal perspective is influenced by perceptions of self-efficacy, which is associated with use of past and future perspectives in the generation of judgement strategies, and also by motivational style, which is associated with engagement of present temporal perspective. Five motivational styles and their associated affects are proposed as influences on present temporal perspective: aggressive motivation, conflict motivation, competitive motivation, cooperative motivation and competence motivation. The context in which TPM has been investigated is the sport environment. The subjects in this study were 118 ice-hockey officials from Vancouver's Lower Mainland. A two by two factorial design was utilised to investigate the major proposition that the temporal perspective model distinguishes individuals in terms of overall achievement in a judgement context. The overall achievement variable was the first principle component derived from an analysis of a set of nine items referring to achieved levels of officiating, number of games assigned and supervisor and peer commendations. This analysis demonstrated significant differences between levels of overall achievement on the following variables: a) engagement of past and future temporal perspectives outside of the judgement context; b) engagement of present temporal perspective within the judgement context; c) the motivational styles of cooperation and competence. Aggressive, conflict and competitive motivations did not significantly distinguish groups in terms of overall achievement. A second two by two design of past-future by present temporal perspective was implemented to investigate the mediation of past-future temporal perspectives by present temporal perspective on the dependent variable of intuitive prediction. The variable of intuitive prediction was the first principle component of an analysis performed on five items relating to peer reports of implementation of successful, creative or original solutions to game problems. This analysis yielded significant main effects for the first factor of past-future temporal perspective and for the second factor of present temporal perspective. A highly significant interaction was found between past-future temporal perspective and present temporal perspective on the dependent variable intuitive prediction. Correlational analyses revealed significant associations between present temporal perspective and motivational style. The results of this study have largely supported the validity of the constructs proposed in TPM. / Arts, Faculty of / Psychology, Department of / Graduate

Of major concern in the present study will be the effects of anxiety on future time perception.

Thesis (Ph. L.)--Catholic University of America, 2008. / Includes bibliographical references (leaves 72-74).

The neural basis of the brain's ability to represent time, which is an essential component of cognition, is unknown. Despite extensive behavioral and electrophysiological studies, a theoretical framework capable of describing the elementary neural mechanisms used by biological neural networks to learn temporal representations does not exist. It is commonly believed that the underlying cellular mechanisms reside in high order cortical regions and there is an ongoing debate about the neural structures required for temporal processing. Recent experimental studies report sustained neural activity that can represent the timing of expected reward in low-level primary sensory cortices, suggesting that temporal representation may form locally in sensory areas of the cortex. This thesis proposes a theoretical framework that explains how temporal representations of the type seen experimentally can be encoded in local cortical networks and how specific temporal instantiations can be learned through reward modulated synaptic plasticity. The proposed framework asserts that the mechanism responsible for encoding the observed temporal intervals is long-term synaptic potentiation between neurons in a recurrent network. Analytical and numerical techniques are used to demonstrate that the model is sufficient to allow näive networks of both linear and non-linear neurons to encode and reliably represent durations specified by external cues during a training period. Analysis of a non-linear spiking neuron model is accomplished using a mean-field approach. The form of temporal learning described has specific implications that can be confirmed experimentally and these predictions are highlighted. Experimental support for a central component of the model is presented and all of the the results are discussed in relation to current experimental and computational work. / text