We examined the relation between emotion and susceptibility to misinformation using a novel paradigm, the ambiguous stimuli affective priming (ASAP) paradigm. Participants (N = 88) viewed ambiguous neutral images primed either at encoding or retrieval to be interpreted as either highly positive or negative (or neutral/not primed). After viewing the images, they either were asked misleading or non-leading questions. Following a delay, memory accuracy for the original images was assessed. Results indicated that any emotional priming at encoding led to a higher susceptibility to misinformation relative to priming at recall. In particular, inducing a negative interpretation of the image at encoding led to an increased susceptibility of false memories for major misinformation (an entire object not actually present in the scene). In contrast, this pattern was reversed when priming was used at recall; a negative reinterpretation of the image decreased memory distortion relative to unprimed images. These findings suggest that, with precise experimental control, the experience of emotion at event encoding, in particular, is implicated in false memory susceptibility.
We tested the hypothesis that threatening situations enhance creativity. 60 participants viewed a series of photographs and rated them on level of threat. They then wrote two short stories: one based on the photograph they rated as most threatening, and the other based on the photograph they rated as least threatening. The stories were rated for level of creativity. Paired samples t-testså revealed that stories based on threatening pictures produced a higher degree of creativity than those based on non-threatening pictures. Theoretical frameworks consistent with these findings are discussed.
Mental imagery has long been of interest to the cognitive and neurosciences, but how it manifests itself in the mind and brain still remains unresolved. In pursuit of this, we built a spiking neural model that can perform mental rotation and mental map scanning using strategies informed by the psychology and neuroscience literature. Results: When performing mental map scanning, reaction times (RTs) for our model closely match behavioural studies (approx. 50 ms/cm), and replicate the cognitive penetrability of the task. When performing mental rotation, our model's RTs once again closely match behavioural studies (model: 55-65°/s; studies: 60°/s), and performed the task using the same task strategy (whole unit rotation of simple and familiar objects through intermediary points). Overall, our model suggests: (1) vector-based approaches to neuro-cognitive modelling are well equipped to re-produce behavioural findings, and (2) the cognitive (in)penetrability of imagery tasks may depend on whether or not the task makes use of (non)symbolic processing.
Hockey is a complex and multifaceted game, yet many of the statistical tools used to evaluate performance are univariate. To garner a better understanding of hockey’s multifaceted nature, two structural equation models (SEMs) assessing the interrelations between offense, defense, and possession were built from three seasons of NHL data. Overall, it was found that the concepts of offense, defense, and possession are best understood via a small constellation of measured variables, and that offense mediates the relationship between possession and defense such that higher levels of offense leads to poorer defensive performance. These findings are discussed within the context of ranking player performance.
The demand on digital signal processing has been growing continuously driven by the increased data array size and sophisticated algorithms. The existing solutions using FPGA and/or ASIC have its advantages and drawbacks. The newly developed FPOA technology provides a flexible and effective programmable solution to meet the computation requirements and greatly reduces the schedule on development. This paper describes a flexible implementation of a complete digital signal processing on FPOA. An example space satellite application has been built and demonstrated on hardware.
This thesis presents a biologically plausible account of mental rotation. To this end, there is evidence that mental rotation is a spatial imagery task that can invoke a variety of strategies, depending on the nature of the stimuli. This thesis uses simple but unfamiliar stimuli, which engenders a continuous, whole-unit rotation. The model is comprised of 43,000 simulated neurons spread across a variety of neuron ensembles. These ensembles work together to form a neuronal representation of the spatial map entailed by the stimuli, then rotates that spatial map into a series of new orientations according to simulated movement along an intended axis of rotation. Two sets of simulations were run: one focusing on the biological accuracy of spatial maps, with the second focusing on the biological accuracy of neurons. Overall, both sets of simulations were able to re-produce the reaction times found in behavioural studies of mental rotation.iii
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