Neuroeconomics: How Neuroscience Can Inform Economics

Neuroeconomics uses knowledge about brain mechanisms to inform economic analysis, and roots economics in biology. It opens up the "black box" of the brain, much as organizational economics adds detail to the theory of the firm. Neuroscientists use many tools— including brain imaging, behavior of patients with localized brain lesions, animal behavior, and recording single neuron activity. The key insight for economics is that the brain is composed of multiple systems which interact. Controlled systems ("executive function") interrupt automatic ones. Emotions and cognition both guide decisions. Just as prices and allocations emerge from the interaction of two processes—supply and demand— individual decisions can be modeled as the result of two (or more) processes interacting. Indeed, "dual-process" models of this sort are better rooted in neuroscientific fact, and more empirically accurate, than single-process models (such as utility-maximization). We discuss how brain evidence complicates standard assumptions about basic preference, to include homeostasis and other kinds of state-dependence. We also discuss applications to intertemporal choice, risk and decision making, and game theory. Intertemporal choice appears to be domain-specific and heavily influenced by emotion. The simplified ß-d of quasi-hyperbolic discounting is supported by activation in distinct regions of limbic and cortical systems. In risky decision, imaging data tentatively support the idea that gains and losses are coded separately, and that ambiguity is distinct from risk, because it activates fear and discomfort regions. (Ironically, lesion patients who do not receive fear signals in prefrontal cortex are "rationally" neutral toward ambiguity.) Game theory studies show the effect of brain regions implicated in "theory of mind", correlates of strategic skill, and effects of hormones and other biological variables. Finally, economics can contribute to neuroscience because simple rational-choice models are useful for understanding highly-evolved behavior like motor actions that earn rewards, and Bayesian integration of sensorimotor information

An exploration of executive function, its theoretical construction, and challenges encountered in its understanding and measurement: did neuropsychology get this right?

Section A argued for the importance of cognitive models in providing a theoretical foundation for complex neuropsychological constructs such as ‘executive function’ (EF). It consisted of a narrative review of 29 existing cognitive models of EF, which were reviewed, critiqued, and then integrated into a novel, unified model of EF. This unified account brought together the affective, motivational and attentional processes involved in goal-driven behaviour. Clinical implications were discussed, alongside recommendations for future research in this area. Section B applied a content analysis to systematically examine the ways that EF is described, explained and understood by currently available neuropsychological assessment measures and textbooks, and evaluate these in accordance with current evidence on EF. A total of 29 texts were included. Categories were derived from the current evidence base, including the ‘unified model’ of EF presented in Section A, as well as inductively from the texts. Results suggested that the majority of assessments and textbooks were unlikely to provide such an integrated account, however, there were exceptions. New leads for further theoretical development, and clinical implications were discusse

Essential Elements for Assessment of Persons with Severe Neurological Impairments for Computer Access Using Assistive Technology Devices: A Delphi Study

This study was undertaken with the intention of determining potential elements for inclusion in an assessment of persons with disabilities for access to computers utilizing assistive technology (AT). There is currently a lack of guidelines regarding areas that constitute a comprehensive and valid measure of a person’s need for AT devices to enable computer access, resulting in substandard services. A list of criteria for elements that should be incorporated into an instrument for determining AT for computer access was compiled from a literature review in the areas of neuroscience, rehabilitation, and education; and a Delphi study using an electronic survey form that was e-mailed to a panel of experts in the field of AT. The initial Delphi survey contained 22 categories (54 subcategories) and elicited 33 responses. The second round of the survey completed the Delphi process resulting in a consensus by the panel of experts for inclusion of 39 subcategories or elements that could be utilized in an assessment instrument. Only those areas rated as essential to the assessment process (very important or important by 80% of the respondents) were chosen as important criteria for an assessment instrument. Many of the non-selected elements were near significance, were studied in the literature, or were given favorable comments by the expert panelists. Other areas may be redundant or could be subsumed under another category. There are inherent obstacles to prescribing the proper AT device to assist disabled persons with computer access due to the complexity of their conditions. There are numerous technological devices to aid persons in accomplishing diverse tasks. This study reveals the complexity of the assessment process, especially in persons with severe disabilities associated with neurological conditions. An assessment instrument should be broad ranging considering the multidimensional nature of AT prescription for computer access. Both intrinsic and extrinsic factors affect the provision of AT

The social brain: neural basis of social knowledge

Social cognition in humans is distinguished by psychological processes that allow us to make inferences about what is going on inside other people—their intentions, feelings, and thoughts. Some of these processes likely account for aspects of human social behavior that are unique, such as our culture and civilization. Most schemes divide social information processing into those processes that are relatively automatic and driven by the stimuli, versus those that are more deliberative and controlled, and sensitive to context and strategy. These distinctions are reflected in the neural structures that underlie social cognition, where there is a recent wealth of data primarily from functional neuroimaging. Here I provide a broad survey of the key abilities, processes, and ways in which to relate these to data from cognitive neuroscience

Music and the Evolution of Embodied Cognition

Music is a universal human activity. Its evolution and its value as a cognitive resource are starting to come into focus. This chapter endeavors to give readers a clearer sense of the adaptive aspects of music, as well as the underlying cognitive and neural structures. Special attention is given to the important emotional dimensions of music, and an evolutionary argument is made for thinking of music as a prelinguistic embodied form of cognition—a form that is still available to us as contemporary music creators and consumers

Education, Society, and the K-12 Learner

An exploration of selected components of the education profession: purpose of education. American education system, education and the legal system, child and adolescent development, and diversity. Part 1: Educational History and Policy Part 2: Educational Psychologyhttps://egrove.olemiss.edu/open/1001/thumbnail.jp

The Effects of Age and Task on Visual Emotion Processing

Younger adults’ perception of and attention to facial stimuli are enhanced by positive and negative emotional expressions, with negativity leading to a greater benefit than positivity. Conversely, older adults demonstrate a positivity bias, devoting more attention to positive stimuli and less to negative. It is unclear if age differences in these attentional preferences emerge due to differences in how their perceptual systems respond to positive and negative stimuli. Emotional facial expressions elicit enhanced P1 and N170 components of visually-evoked event-related potentials (ERP) over posterior scalp regions associated with vision. The current study examined the extent to which angry and happy facial expressions evoked differential patterns of P1 and N170 enhancements in younger (n = 21, ages 18-30) and older (n = 20, ages 60-76) adults. Participants were presented with happy, angry, and neutral faces under four instructional conditions: passively view, passively view but consider emotion, categorize emotion, and categorize gender. ERPs were recorded from the posterior scalp electrodes of a 128- channel high density electrode array and were time-locked to the onset of facial stimuli. The recordings were segmented and averaged based on the instructional condition and emotional expression of the stimulus. Analyses of the average P1 and N170 latencies revealed no age differences. Overall, participants displayed larger amplitude P1 and N170 to all stimuli when asked to categorize gender or emotionality. Contrary to expectations, both younger and older adults displayed larger N170 amplitudes for angry and happy expressions relative to neutral ones. Although older adults display a positivity bias in allocating attention to emotional stimuli, in the current study, younger and older adults both displayed an enhanced N170 for emotional faces relative to neutral faces, suggesting that the perceptual systems of younger and older adults are similarly engaged in processing positive and negative facial expressions at early time points