Thought in the absence of attention

Although many researchers have been unsuccessful in doing so, I was able to partially replicate Dijksterhuis\u27 (2004) unconscious thought effect. I found that participants who were distracted with the performance of an irrelevant task made better decisions than participants who engaged in conscious thought or participants who made immediatedecisions. Task directions and population differences in the evaluation of option attributes likely represent confounding variables that can disrupt the unconscious thought effect. While Dijksterhuis has argued that his findings necessitate the existence of an unconscious thought process capable of operating in the absence of attention, I suspect that there is a more parsimonious explanation. I suggest that participants may develop implicit preference as they read the attribute statements, and that the behavioral expression of this preference is moderated by thought condition

Categorical evidence, confidence and urgency during the integration of multi-feature information

Includes bibliographical references.2015 Summer.The present experiment utilized a temporally-extended categorization task to investigate the neural substrates underlying our ability to integrate information over time and across multiple stimulus features. Importantly, the design allowed differentiation of three important decision functions: 1) categorical evidence, 2) decisional confidence (the choice-independent probability that a decision will lead to a desirable state), and 3) urgency (a hypothetical signal representing a growing pressure to produce a behavioral response within each trial). In conjunction with model-based fMRI, the temporal evolution of these variables were tracked as participants deliberated about impending choices. The approach allowed investigation of the independent effects of urgency across the brain, and also the investigation of how urgency might modulate representations of categorical evidence and confidence. Representations associated with prediction errors during feedback were also investigated. Many cortical and striatal somatomotor regions tracked the dynamical evolution of categorical evidence, while many regions of the dorsal and ventral attention networks (Corbetta and Shulman, 2002) tracked decisional confidence and uncertainty. Urgency influenced activity in regions known to be associated with flexible control of the speed-accuracy trade-off (particularly the pre- SMA and striatum), and additionally modulated representations of categorical evidence and confidence. The results, therefore, link the urgency signal to two hypothetical mechanisms underling flexible control of decision thresholding (Bogacz et al., 2010): gain modulation of the striatal thresholding circuitry, and gain modulation of the integrated categorical evidence

Bidirectional Influences of Information Sampling and Concept Learning

Contemporary models of categorization typically tend to sidestep the problem of how information is initially encoded during decision making. Instead, a focus of this work has been to investigate how, through selective attention, stimulus representations are “contorted” such that behaviorally relevant dimensions are accentuated (or “stretched”), and the representations of irrelevant dimensions are ignored (or “compressed”). In high-dimensional real-world environments, it is computationally infeasible to sample all available information, and human decision makers selectively sample information from sources expected to provide relevant information. To address these and other shortcomings, we develop an active sampling model, Sampling Emergent Attention (SEA), which sequentially and strategically samples information sources until the expected cost of information exceeds the expected benefit. The model specifies the interplay of two components, one involved in determining the expected utility of different information sources and the other in representing knowledge and beliefs about the environment. These two components interact such that knowledge of the world guides information sampling, and what is sampled updates knowledge. Like human decision makers, the model displays strategic sampling behavior, such as terminating information search when sufficient information has been sampled and adaptively adjusting the search path in response to previously sampled information. The model also shows human-like failure modes. For example, when information exploitation is prioritized over exploration, the bidirectional influences between information sampling and learning can lead to the development of beliefs that systematically differ from reality

Tribostimulated Emission of Electrons and Neutral Particles from Anodized Aluminum

The physical and chefmical properties of anodic oxide layers on metals such as Al play important roles in a number of applications such as adhesive bonding and corrosion resistance. An overall test of an oxide layer sensitive to a number of oxide properties is difficult to find. We have been studying the tribostimulated emission of charged particles, neutral particles, and photons during tensile deformafion of anodically oxidized Al alloys. The characteristic emission curve (emission rate vs. strain of the Al substrate during constant strain rate) is found to depend strongly on the anodization parameters. A comparison of neutral particle emission with electron emission will be presented. Correlations between acoustic emission from oxide cracking and electron emission will also be discussed

Curating and Commemorating the City: Research, Oral History, and Mobile Publishing

Our research team recorded, analyzed, processed, and extracted digital clips from more than 50 oral history interviews in support of two major centennials--those of Shaker Heights and the West Side Market. They learned important historical skills while working in a dynamic team and contributing to a major public and digital history project.https://engagedscholarship.csuohio.edu/u_poster_2012/1007/thumbnail.jp

Occipitotemporal Representations Reflect Individual Differences in Conceptual Knowledge

Through selective attention, decision-makers can learn to ignore behaviorally irrelevant stimulus dimensions. This can improve learning and increase the perceptual discriminability of relevant stimulus information. Across cognitive models of categorization, this is typically accomplished through the inclusion of attentional parameters, which provide information about the importance assigned to each stimulus dimension by each participant. The effect of these parameters on psychological representation is often described geometrically, such that perceptual differences over relevant psychological dimensions are accentuated (or stretched), and differences over irrelevant dimensions are down-weighted (or compressed). In sensory and association cortex, representations of stimulus features are known to covary with their behavioral relevance. Although this implies that neural representational space might closely resemble that hypothesized by formal categorization theory, to date, attentional effects in the brain have been demonstrated through powerful experimental manipulations (e.g., contrasts between relevant and irrelevant features). This approach sidesteps the role of idiosyncratic conceptual knowledge in guiding attention to useful information sources. To bridge this divide, we used formal categorization models, which were fit to behavioral data, to make inferences about the concepts and strategies used by individual participants during decision-making. We found that when greater attentional weight was devoted to a particular visual feature (e.g., “color”), its value (e.g., “red”) was more accurately decoded from occipitotemporal cortex. We also found that this effect was sufficiently sensitive to reflect individual differences in conceptual knowledge, indicating that occipitotemporal stimulus representations are embedded within a space closely resembling that formalized by classic categorization theory

Recent Decisions

Comments on recent decisions by William A. Alder, William B. Ball, John F. Bodle, Wm. J. Braunlich, Jr., James A. Cassidy, John J. Cauley, F. J. Coufal, Louis F. Di Giovanni, George B. Kashmer, Robert D. Londergan, James W. Oberfell, Robert S. Olivier, William V. Phelan, John G. Smith, E. A. Steffen, Jr., Edward L. Twohey, and Robert R. Uhl

Accuracy of the activation energy calculated from a thermoluminescence glow‐peak using a method that uses three points on the peak

The utility of thermoluminescence (TL) in detecting changes in defect concentration in insulators is well established [1–3]. The underlying premise leading to the emission of TL is that exposure of a material to ionizing radiation causes a redistribution of charge in defect centres within the material. When the material is heated at a controlled linear rate, the thermoluminescence is emitted as a temperature-dependent set of peaks collectively known as a glow-curve. The shape and intensity of each of the glow-peaks may be characterized by a set of parameters consisting of the activation energy E, the frequency factors, the number of electrons n0 trapped in defect centres at the start of the heating, and the order of kinetics b. The order of kinetics b is an indication of the retrapping probability i.e. the probability that a free electron from the conduction band will be retrapped rather than recombine with a hole at a recombination centre to produce thermoluminescence. Retrapping of electrons reduces the TL intensity at any particular temperature during the heating process. The physical mechanisms of TL associated with a given glow curve are unique and may be characterized by analysis of the glow-curve for the said kinetic parameters

Synchronous beta rhythms of frontoparietal networks support only behaviorally relevant representations

Categorization has been associated with distributed networks of the primate brain, including the prefrontal cortex (PFC) and posterior parietal cortex (PPC). Although category-selective spiking in PFC and PPC has been established, the frequency-dependent dynamic interactions of frontoparietal networks are largely unexplored. We trained monkeys to perform a delayed-match-to-spatial-category task while recording spikes and local field potentials from the PFC and PPC with multiple electrodes. We found category-selective beta- and delta-band synchrony between and within the areas. However, in addition to the categories, delta synchrony and spiking activity also reflected irrelevant stimulus dimensions. By contrast, beta synchrony only conveyed information about the task-relevant categories. Further, category-selective PFC neurons were synchronized with PPC beta oscillations, while neurons that carried irrelevant information were not. These results suggest that long-range beta-band synchrony could act as a filter that only supports neural representations of the variables relevant to the task at hand.National Institute of Mental Health (U.S.) (4R01MH065252)Prop. 63 the Mental Health Services ActUniversity of California, Davis. Behavioral Health Center of Excellenc

Is the Migration-Tourism Relationship only about VFR?

This paper contributes to the literature on the linkages between tourism and migration. Though it is widely recognised that the two phenomena are closely linked, and that migration may induce visiting friends and relatives) tourism (VFR), there has been little econometric evaluation of the relationship. The present analysis draws upon Australian data to identify a strong quantitative link between migration and VFR tourism. It also demonstrates a strong link between migration and other forms of tourism. Indeed the latter are almost equally as strong as the links between migration and VFR tourism. This unexpected finding has implications for policymakers and for conceptualising the migration-tourism relationship