Browsing by Subject "Bayesian analysis"

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    Effect of high-beta versus gamma binaural beat exposure on immediate and delayed recall
    (2025) Grobler, Etienne; Njomboro, Progress
    In this study, I investigate the effect of binaural beats on immediate and delayed recall. Binaural beat exposure within the Gamma frequency band has been linked to alterations in neural connectivity and increased attention during working memory tasks, while stimulation in the Beta frequency band has been associated with increased memory performance. However, there is a lack of direct comparison between the effects of exposure to High-Beta versus Gamma binaural beats on immediate and delayed recall performance. This study employs a Bayesian approach and a between-groups 3 (exposure condition) x 2 (task presentation format) x 2 (timing of exposure) experimental design to examine the effects of both High-Beta and Gamma binaural beats on immediate and delayed recall performance in 75 participants. The results show that exposure to binaural beats resulted in mixed effects, with exposure to Gamma binaural beats only having a significant impact on immediate recall when combined with visual presentation, and exposure to High-Beta binaural beats during encoding and recall potentially interfering with recalling semantic information such as story themes after a delay. Comparatively, High-Beta binaural beat exposure did not significantly improve memory performance, while exposure to Gamma binaural beats only showed a significant improvement in memory performance when participants recalled information from the auditory memory tasks. These results have important implications for research and clinical work focused on cognitive improvement.
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    Preliminary results from an updated assessment of the squid resource
    (2010) Glazer, Jean Patricia; Butterworth, Doug S
    A Bayesian analysis, to take full account of model uncertainty, was conducted in the past to assess the status of the squid resource Loligo reynaudii. The data included in the analysis comprised jig catches (1983-2002), trawl catches (1971-2002), jig CPUE (1985-2002), trawl CPUE (1978-1999), an autumn survey biomass index (1988-1997, 1999) and a spring survey biomass index (1987, 1990-1995, 2001). Twelve models, each assuming a discrete value for h (the steepness parameter in the stock-recruit relationship), ranging from 0.40 – 0.95 in units of 0.05, were run and results were integrated over these models. Subsequent to the presentation of the results from the above-mentioned analysis, additional data have become available and there have also been some modifications made to the input data. Time constraints have precluded conducting a complete reanalysis whereby the results are integrated over the 12 models that were previously considered, where each model assumed a discrete value for steepness h. This paper therefore compares results for the assessment model utilizing i) the previous data and ii) the updated data for one of the models considered, namely h=0.7. It is therefore important to note that the results presented here are a work in progress and will be subject to a fuller evaluation in the near future.