The perception of 3-D structure from contradictory optical patterns

Two experiments investigated observers’ perceptions of 3-D structure when optical sources of information were contradictory. When motion and stereoscopic disparities specified different surfaces, the perceptual outcome depended strongly on the direction of curvature present within each modality. Previous research has shown that the perception of surface slant and curvature is anisotropic for both motion and stereo and that it depends on the direction in which it takes place. In the present experiments, the modality with the “effective” direction of curvature tended to dominate or suppress the perception of surfaces in the other modality with less effective curvatures. The results have implications for models which attempt to combine 3-D data from different optical sources.     

Combining image degradations in a recognition task

Six experiments are reported that investigate the effect on form recognition performance of combining three kinds of stimulus degradations: local area averaging of intensities, low-pass spatial frequency filtering, and random dot visual interference. The effects are shown to be more complicated than previously reported in simple demonstrations. The complexity of the results suggests that models based on single stimulus attributes such as energy or spatial frequency spectrum probably cannot account for the data. Eclectic theories that invoke combinations of redundant processes may be necessary for describing visual recognition phenomena, even within the limited domain examined in this study.     

The resting membrane potential of cells are measures of electrical work,not of ionic currents

Living cells create electric potential force,E, between their various phases by at least three distinct mechanisms. Charge separation,

An examination of response covariation in the behavioral treatment of identical twin boys with multiple behavioral disorders

This study examined the response covariation phenomenon in the behavioral treatment of a noncompliant, nonattentive child with autism in a school setting. The treatment consisted of reinforcement for compliance and attention. Results showed that the reinforcement of compliance was associated with increased levels of compliance, attending, and directed verbalizations. Sequential scatterplot data analysis suggested that compliance and attending directly covaried as a function of the reinforcement for compliance contingency. The results of this multiple treatment study suggests that reinforcement of compliance had the broadest positive effect for the subject since positive collateral changes were observed in attending and directed verbalizations when compliance was reinforced.     

Simulating correlated multivariate nonnormal distributions: Extending the fleishman power method

A procedure for generating multivariate nonnormal distributions is proposed. Our procedure generates average values of intercorrelations much closer to population parameters than competing procedures for skewed and/or heavy tailed distributions and for small sample sizes. Also, it eliminates the necessity of conducting a factorization procedure on the population correlation matrix that underlies the random deviates, and it is simpler to code in a programming language (e.g., FORTRAN). Numerical examples demonstrating the procedures are given. Monte Carlo results indicate our procedure yields excellent agreement between population parameters and average values of intercorrelation, skew, and kurtosis.     

Gender Differences in the Organization of Guilt and Shame

Lewis [(1971) Shame in Guilt in Neurosis, New York: International Universities Press] argues that guilt and shame represent distinct modes of perceiving and experiencing information about the self that are congruent with gender-linked differences in socialization. We tested predictions from Lewis' model that shame-proneness in adult White females (n = 102), but guilt-proneness in adult White males (n = 99), would account for a substantial proportion of the variance in measures assessing their characteristic use of defense mechanisms and endorsement of gender roles. Certain results confirmed Lewis' broader claim that guilt for men, but shame for women, were predominant modes of organizing information about the self. Other results did not support certain specific predictions made by Lewis or they provided only equivocal support (e.g., in men, the joint positive relationship of guilt-proneness to communal orientations but its negative relationship to externalization). Similar discrepant findings emerged for females' construal of guilt, which also related positively to internalization. Although shame-proneness did emerge as the principal emotion variable for females, it was linked to both internalization and externalization. Lewis' model is reconsidered in light of recent empirical findings and the need to conduct more on-line investigations of transgression-emotion induction-emotion reduction cycles.     

One step is not enough: Making better use of association norms to predict cued recall

Cued recall is strongly affected by the strength of the preexisting connection between the test cue and the information to be recalled, the target. In all past work, preexisting cue-to-target strength has been measured by the probability that the cue produced the target in free association. This paper presents four experiments showing that this use of such norms underestimates the strength of the connection and that a more accurate estimate can be obtained by incorporating indirect as well as direct connections in the estimate. Experiments 1 and 2 showed that in extralist cued recall both the strength and number of two-step indirect connections facilitate recall. Experiment 3 showed that three-step connections have negligible effects. Experiment 4 used an intralist task in which cue and target are first studied together, and the results showed once again that indirect connections can affect recall. In all of these experiments, indirect connections had an effect on recall that was larger when direct cue-to-target strength was weak than when it was strong. Implications for using association norms in research are described, and an algorithm for using association norms to measure cueto-target strength is proposed.     

Design and operation of an EEG-based brain-computer interface with digital signal processing technology

We are developing an electroencephalographic (EEG)-based brain-computer interface (BCI) system that could provide an alternative communication channel for those who are totally paralyzed or have other severe motor impairments. The essential features of this system are as follows: (1) EEG analysis in real time, (2) real-time conversion of that analysis into device control, and (3) appropriate adaptation to the EEG of each user. Digital signal processing technology provides the speed and flexibility needed to satisfy these requirements. It also supports evaluation of alternative analysis and control algorithms, and thereby facilitates further BCI development.