A general-purpose microcomputer configuration for controlling experiments

The circuitry required for connecting a KIM-1 microcomputer to devices in the experimental environment is shown together with an example of programming the microcomputer to control such devices. The experimental example involves sensory preconditioning of the nictitating membrane of the rabbit.     

A general diagnostic model applied to language testing data

Probabilistic models with one or more latent variables are designed to report on a corresponding number of skills or cognitive attributes. Multidimensional skill profiles offer additional information beyond what a single test score can provide, if the reported skills can be identified and distinguished reliably. Many recent approaches to skill profile models are limited to dichotomous data and have made use of computationally intensive estimation methods such as Markov chain Monte Carlo, since standard maximum likelihood (ML) estimation techniques were deemed infeasible. This paper presents a general diagnostic model (GDM) that can be estimated with standard ML techniques and applies to polytomous response variables as well as to skills with two or more proficiency levels. The paper uses one member of a larger class of diagnostic models, a compensatory diagnostic model for dichotomous and partial credit data. Many well‐known models, such as univariate and multivariate versions of the Rasch model and the two‐parameter logistic item response theory model, the generalized partial credit model, as well as a variety of skill profile models, are special cases of this GDM. In addition to an introduction to this model, the paper presents a parameter recovery study using simulated data and an application to real data from the field test for TOEFL^® Internet‐based testing.     

A general-purpose facility for adaptive testing in psychoacoustics

We describe a general-purpose, programmable system that provides high-quality, low-cost devices for experimentation in psychoacoustics and speech perception. The system is controlled by a host computer (e.g., an IBM PC), over a serial line. Through the use of a high-level, general-purpose experiment control program, the designed interconnection of devices can be specified logically, and the settings of the devices modified dynamically, during the experiment.     

EyeRIS: A general-purpose system for eye-movement-contingent display control

In experimental studies of visual performance, the need often emerges to modify the stimulus according to the eye movements performed by the subject. The eye-movement-contingent display (EMCD) methodology enables accurate control of the position and motion of the stimulus on the retina. EMCD procedures have been used successfully in many areas of vision science, including studies of visual attention or eye movements and physiological characterization of neuronal response properties. Unfortunately, the difficulty of real-time programming and the unavailability of flexible and economical systems that can be easily adapted to the diversity of experimental needs and laboratory setups have prevented the widespread use of EMCD control. This article describes EyeRIS, a general-purpose system for performing EMCD experiments on a Windows computer. Based on a digital signal processor with analog and digital interfaces, this integrated hardware and software system is responsible for sampling and processing oculomotor signals and subject responses and for modifying the stimulus displayed on a CRT according to a gaze-contingent procedure specified by the experimenter. EyeRIS is designed to update the stimulus with a delay of only 10 msec. To thoroughly evaluate EyeRIS's performance, this study was designed to (1) examine the response of the system in a number of EMCD procedures and computational benchmarking tests; (2) compare the accuracy of implementation of one particular EMCD procedure, retinal stabilization, with that produced by a standard tool used for this task; and (3) examine EyeRIS's performance in one of the many EMCD procedures that cannot be executed by means of any other currently available device.     

A honeycomb data array for simulating visual processes using the C programming language

A method of simulating visual processes is formulated as a C language program. The two-dimensional image array has a honeycomb structure, in which each cell has six immediate neighbors. A general iterative simulation method that represents changes in time is used. The method is illustrated with tests of Horn’s (1974) model of the retinex lightness process of Land and McCann (1971) and of a modified form of that model.     

A general-purpose computer system for behavioral conditioning and neural recording experiments

A computer system designed to control the delivery of stimuli and data acquisition during behavioral conditioning and neural recording experiments is described. This IBM-PC-compatible system is programmed in C++ and is capable of controlling stimulus presentations to four independently operating conditioning chambers while collecting one channel of analog and two channels of digital data from each of the chambers. This system is currently being used in a variety of learning and memory experiments involving rats, rabbits, and humans.     

Analogy in a general-purpose reasoning system

This paper introduces the various forms of analogy in NARS, a general-purpose reasoning system. NARS is an AI system designed to be adaptive and to work with insufficient knowledge and resources. In the system, multiple types of inference, including analogy, deduction, induction, abduction, comparison, and revision, are unified both in syntax and in semantics. The system can also carry out relational and structural analogy, in ways comparable to (though different from) that in some other models of analogy, such as Copycat and SME. The paper addresses several theoretical issues in the study of analogy, including the specification and justification of analogy, the context sensitivity of analogy, as well as the role analogy plays in intelligence and cognition.     

Controlling experiments with a general-purpose time-sharing system

For many experiments in the behavioral and biomedical sciences, there is no substitute for an experimental-control computer with true real-time capabilities. However, if an experimenter can tolerate timing errors of several seconds, then he can reap the benefits of computer control by buying time on a general-purpose time-sharing system. There can be little doubt that a self-contained computer-controlled laboratory will be more economical if a fair number of experiments are contemplated. But when only a few experiments are planned, the researcher may find that he can run them with a general-purpose time-sharing system at only a fraction of the cost of establishing a