Optogenetic tools for analyzing the neural circuits of behavior

In order to understand how the brain generates behaviors, it is important to be able to determine how neural circuits work together to perform computations. Because neural circuits are made of a great diversity of cell types, it is critical to be able to analyze how these different kinds of cell work together. In recent years, a toolbox of fully genetically encoded molecules has emerged that, when expressed in specific neurons, enables the electrical activity of the targeted neurons to be controlled in a temporally precise fashion by pulses of light. We describe this optogenetic toolbox, how it can be used to analyze neural circuits in the brain and how optogenetics is impacting the study of cognition.     

Teaching students to model neural circuits and neural networks using an electronic spreadsheet simulator

An electronic spreadsheet simulator can be used to enable students to conduct simulated microelectrode recording experiments. In addition, it can be used both to let students explore the operation of models of hypothetical neural networks and to let them design and develop their own neural models.     

New approaches to demystifying insight

After a person has become stuck on a problem, they sometimes achieve a clear and sudden solution through insight--the so-called Aha! experience. Because of its distinctive experience, the origins and characteristics of insight have received considerable attention historically in psychological research. However, despite considerable progress in characterizing insight, the underlying mechanisms remain mysterious. We argue that research on insight could be greatly advanced by supplementing traditional insight research, which depends on a few complex problems, with paradigms common in other domains of cognitive science. We describe a large set of mini-insight problems to which multiple methods can be applied, together with subjective reports to identify insight problem-solving. Behavioral priming and neuroimaging methods are providing evidence about what, where, and how neural activity occurs during insight. Such evidence constrains theories of component processes, and will help to demystify insight.     

Localizing complex neural circuits with MEG data

During cognitive processing, the various cortical areas, with specialized functions, supply for different tasks. In most cases then, the information flows are processed in a parallel way by brain networks which work together integrating the single performances for a common goal. Such a step is generally performed at higher processing levels in the associative areas. The frequency range at which neuronal pools oscillate is generally wider than the one which is detectable by bold changes in fMRI studies. A high time resolution technique like magnetoencephalography or electroencephalography is therefore required as well as new data processing algorithms for detecting different coherent brain areas cooperating for one cognitive task. Our experiments show that no algorithm for the inverse problem solution is immune from bias. We propose therefore, as a possible solution, our software LOCANTO (LOcalization and Coherence ANalysis TOol). This new package features a set of tools for the detection of coherent areas. For such a task, as a default, it employs the algorithm with best performances for the neural landscape to be detected. If the neural landscape under attention involves more than two interacting areas the SLoreta algorithm is used. Our study shows in fact that SLoreta performance is not biased when the correlation among multiple sources is high. On the other hand, the Beamforming algorithm is more precise than SLoreta at localizing single or double sources but it gets a relevant localization bias when the sources are more than three and are highly correlated.     

New approaches to crisis intervention.

Constant efforts to improve crisis services have led to many innovative programs. Some have proven their feasibility and become established procedures. Others are now in a developing stage and still others represent new approaches. A survey of 50 suicide prevention and crisis services around the world provides evidence of a trend toward a broadening range of services, a more active case-finding approach, greater visibility, increased integration into the community care system, and creative leadership by newer and smaller centers as well as the well-established ones. This is being accomplished without relinquishing the traditional respect for anonymity, ever-present availability, and a nonjudgmental regard for each person's need.     

From neural responses to population behavior: neural focus group predicts population-level media effects

Can neural responses of a small group of individuals predict the behavior of large-scale populations? In this investigation, brain activations were recorded while smokers viewed three different television campaigns promoting the National Cancer Institute's telephone hotline to help smokers quit (1-800-QUIT-NOW). The smokers also provided self-report predictions of the campaigns' relative effectiveness. Population measures of the success of each campaign were computed by comparing call volume to 1-800-QUIT-NOW in the month before and the month after the launch of each campaign. This approach allowed us to directly compare the predictive value of self-reports with neural predictors of message effectiveness. Neural activity in a medial prefrontal region of interest, previously associated with individual behavior change, predicted the population response, whereas self-report judgments did not. This finding suggests a novel way of connecting neural signals to population responses that has not been previously demonstrated and provides information that may be difficult to obtain otherwise.     

Situation and person-centered approaches to promoting leadership behavior in low performance self-esteem women

In each of 84 mixed-sex dyads, a low performance self-esteem woman was appointed to the role of leader in the dyad's decision-making task. Situation and person-centered approaches to promoting the woman's leadership behavior were tested by providing information regarding the women's task-relevant competence to one, both, or neither dyad member prior to the day of the task. Decision outcome scores and ratings of audio tapes served as measures of dyadic influence. When women were given the leadership information beforehand, they were more leaderlike and their partners were more acquiescent; informing men beforehand had little effect on the interaction, especially when the women had not been informed. Subjects' postdiscussion self-ratings, partner ratings, and perceived partner ratings suggested subtle forms of male defensiveness and more obvious forms of female discomfort with the leader role.     

New approaches to the design of computerized interviewing and testing systems

Most computer interviewing and testing systems have adopted paper-and-pencil approaches to information gathering with little modification. However, computer technology offers two fundamental advantages over paper-and-pencil technology for psychological information gathering: (1) A computer can record ancillary data such as latencies and pressure on response keys during an interviewing session, and (2) A computer can react adaptively to special events as these arise during a session. Ways to capitalize on these advantages are outlined. A pilot study of interviewee behavior during a computer problem-screening interview is described, and the implications of the results for future research in the area are discussed. Passive and active computer testing systems occupy positions on a continuum between paper-based psychological testing and the flexible, but less well controlled, technology represented by the human. With its unique capabilities, computer technology has a special role to play in the future of psychological measurement.