Statistical analysis of fuzzy-set data from neuronal networks

In this study, we describe the process of transforming neuron polarization values that meet the assumptions of ratio data into ordinal data. This is a crisp-to-fuzzy set transformation. A computerized simulation of the application of this process is discussed and nonparametric methods of analyzing fuzzy-set data are presented.     

The use of computer networks in data gathering and data analysis

In our research, the data are gathered in the laboratory on a DEC PDP-11/24 minicomputer. Once the data are gathered, they are analog-to-digital (A/D) converted and sent by the PDP to an IBM 370-3031. The data are submitted to a Fast Fourier Transform (FFT) on the IBM computer. Once the FFT is completed, the data are accessed by an IBM PC-XT that is equipped with an IRMA system. The PC is used in its emulation mode to access the data in the mainframe. In the mainframe, SPSS or SAS is used to do the initial statistical analyses. When necessary, subsets of the data are transferred to the PC, where other computer programs are used to analyze the data. In many instances, they are returned to the mainframe from the PC, where they are submitted to multivariate statistical analysis. Finally, all of the data are stored on floppy disks, which are prepared on the PC.     

Developing probability limits for longitudinal physiological data

The objective of this study was to determine what amount of change in heart electrophysiology is necessary to yield a significant difference between a baseline condition and an experimental treatment condition. In a single-subject longitudinal design, a modification of at test was applied to baseline data, and the performance levels for both .05 and .01 probability levels were obtained. It was concluded that it is both ethically sound and physiologically safe to permit a subject in this type of experiment to physiologically respond at levels that would reach both the .05 and the .01 levels of significance.     

Data transfer concepts and strategies in a psychological research environment

In this paper, we discuss the importance and problems of data transfer in psychological research environments. Discussion includes how simple text file transfer systems meet researchers’ needs. The systems’ shortcomings are also analyzed. Strategies for customizing systems, using pre-prepared software packages, point-to-point systems, and “networked” systems, are carefully analyzed.     

Lotus 1-2-3 simulation of frequency encoding on the basilar membrane

A spreadsheet simulation was designed to describe frequency encoding on the basilar membrane according to the place theory (Greenwood, 1961). For any given frequency, the simulation displayed the location of maximum amplitude on the basilar membrane and the relevant critical bandwidth. The authors found a very high correlation between data given by the simulation and data from empirical research. The high correlation indicates the validity of the place theory of frequency encoding and the usefulness of this simulation for future research purposes.     

Matrix manipulation and interpretation of data related to AIDS transmission

This research describes how a currently available spreadsheet program can be set up to analyze sociographic data. An algorithm developed by Jamrich (1960) is presented, along with both the mathematical and the spreadsheet equations. An example of the application of the algorithm and equations to AIDS transmission data is presented.     

Trust differences between supervisors and subordinates: Examining the role of race and gender

This study examined trust differences between supervisor and subordinate dyads that differ in race or gender as well as in dyads that were similar. The results of 301 (the sample consisted of 241 whites and 41 blacks, 216 were women and 86 were men) respondents indicated gender and race do affect trust. More specifically, the highest level of trust was found between female subordinates reporting to male supervisors. It was also found that whites reporting to whites perceived significantly less trust than blacks reporting to blacks, but significantly greater trust than whites reporting to blacks. The results also indicated that whites reporting to blacks and blacks reporting to whites perceive significantly less trust than blacks reporting to blacks. A discussion of these results is also included.     

Hinton diagrams: Viewing connection strengths in neural networks

A graphical analysis similar to that used by Hinton and Shallice (1991) was applied to the hair cells of a simulated auditory transducer. The graphical analysis made it apparent that there were hair cells that responded to a narrow range of frequencies, as would be predicted by the tonotopic organization of the real physiology. In short, this study demonstrates the efficacy of using graphic techniques to examine the nature of the autopoetic organization of the hidden layer of back-propagation networks.     

Computer-managed inferential statistical analysis of EEG data

Much of the neuroelectrical/psychophysiologic research of the past has involved the use of “group-type” statistics. Often, this has resulted in large variances that make it difficult, if not impossible, to find significant differences. Using the INNOVATE technique of single-subject design, we are able to consistently demonstrate significant differences in EEG spectra related to experimental and clinical effects previously masked.