Bertram O. Ploog

Use of Computer-Assisted Technologies (CAT) to Enhance Social, Communicative, and Language Development in Children with Autism Spectrum Disorders

Major advances in multimedia computer technology over the past decades have made sophisticated computer games readily available to the public. This, combined with the observation that most children, including those with autism spectrum disorders (ASD), show an affinity to computers, has led researchers to recognize the potential of computer technology as an effective and efficient tool in research and treatment. This paper reviews the use of computer-assisted technology (CAT), excluding strictly internet-based approaches, to enhance social, communicative, and language development in individuals with ASD by dividing the vast literature into four main areas: language, emotion recognition, theory of mind, and social skills. Although many studies illustrate the tremendous promise of CAT to enhance skills of individuals with ASD, most lack rigorous, scientific assessment of efficacy relative to non-CAT approaches.

Stimulus overselectivity four decades later: a review of the literature and its implications for current research in autism spectrum disorder.

This review of several topics related to “stimulus overselectivity” (Lovaas et al., J Abnormal Psychol 77:211–222, 1971) has three main purposes: (1) To outline the factors that may contribute to overselectivity; (2) to link the behavior-analytical notion of overselectivity to current nonbehavior-analytical research and theory; and (3) to suggest remedial strategies based on the behavior-analytical approach. While it is clear that overselectivity is not specific to autism spectrum disorder (ASD) and also that not all persons with ASD exhibit overselectivity, it is prevalent in ASD and has critical implications for symptoms, treatment, research, and theory. Weak Central Coherence and Enhanced Perceptual Functioning theories are briefly considered. The research areas addressed here include theory of mind, joint attention, language development, and executive function.

Serial discrimination reversal learning in pigeons as a function of intertrial interval and delay of reinforcement.

Pigeons learned a series of reversals of a simultaneous red-green visual discrimination. Delay of reinforcement (0 vs. 2 sec) and intertrial interval (ITI; 4 vs. 40 sec) were varied across blocks of reversals. Learning was faster with 0-sec than with 2-sec delays for both ITI values and faster with 4-sec ITIs than with 40-sec ITIs for both delays. Improvement in learning across successive reversals was evident throughout the experiment, furthermore, even after more than 120 reversals. The potent effects of small differences in reinforcement delay provide evidence for associative accounts and appear to be incompatible with accounts of choice that attempt to encompass the effects of temporal parameters in terms of animals’ timing of temporal intervals.

TWO METHODS OF STIMULUS FADING APPLIED TO A SIMULTANEOUS FLICKER RATE DISCRIMINATION IN PIGEONS

Abstract Two commonly applied stimulus fading procedures were compared with a trial-and-error procedure in their effect on error rates and rate of acquisition of a difficult target discrimination. In the intensity fading procedure stimulus control by one pretrained dimension (color) was faded while combined with the new stimulus dimension (flicker rate) of the target discrimination. In the transfer-along-a-continuum procedure, an easy flicker-rate discrimination was presented initially which was then made progressively more difficult by gradually decreasing flicker rate differences, thus finally approaching the target discrimination. Only the transfer-along-a-continuum procedure facilitated the discrimination of the target discrimination relative to the trial-and-error control procedure, while the intensity fading procedure occasioned the fewest errors during training. That is, acquisition and error rates were independent. The results are consistent with those in human applied situations in showing that fading improves the rate of learning only when it involves attentional shaping to the target stimulus dimension.

Summation and subtraction using a modified autoshaping procedure in pigeons.

A modified autoshaping paradigm (significantly different from those previously reported in the summation literature) was employed to allow for the simultaneous assessment of stimulus summation and subtraction in pigeons. The response requirements and the probability of food delivery were adjusted such that towards the end of training 12 of 48 trials ended in food delivery, the same proportion as under testing. Stimuli (outlines of squares of three sizes and colors: A, B, and C) were used that could be presented separately or in any combination of two or three stimuli. Twelve of the pigeons (summation groups) were trained with either A, B, and C or with AB, BC, and CA, and tested with ABC. The remaining 12 pigeons (subtraction groups) received training with ABC but were tested with A, B, and C or with AB, BC, and CA. These groups were further subdivided according to whether stimulus elements were presented either in a concentric or dispersed manner. Summation did not occur; subtraction occurred in the two concentric groups. For interpretation of the results, configural theory, the Rescorla-Wagner model, and the composite-stimulus control model were considered. The results suggest different mechanisms responsible for summation and subtraction.

Attention, the presolution period, and choice accuracy in pigeons.

Six pigeons were trained first on a color then on a form discrimination; four other pigeons were trained first on form and then on color. One of two colors or one of two forms (sample stimuli) appeared in the center of a touch sensitive monitor for 5 pigeons and in the center and in 16 other locations for 5 other pigeons. A peck anywhere within the region in which the sample stimuli appeared produced two white disks (comparison stimuli), one on the left and one on the lower right corners of the screen. Correct left-right choices provided food. Although of no consequence, the location of pecks in presence of the sample was predictive of the pigeons subsequent choice. Accuracy, choice of the correct comparison stimulus, was greater when the sample stimuli appeared in the center as well as 16 other locations than when it appeared only in the center. The presolution period, the period of chance accuracy prior to evidence of discrimination learning, was decreased on each task following training on the other task. This evidence of facilitation following an extra-dimensional shift was attributed to continued relevance of the conditions under which the first task was learned. The duration of the presolution period was inversely related to asymptotic accuracy-data accounted for by Heinemanns (1983) theory of information processing during the presolution period.

Serial discrimination reversal learning in pigeons as a function of signal properties during the delay of reinforcement

Pigeons learned a series of reversals of a simultaneous red–green discrimination with a 6-s delay of reinforcement. The signal properties during the 6-s reinforcement delay were varied across blocks of reversals, such that the delay was either unsignaled (intertrial interval conditions during the delay) or signaled by illumination of the center key. Four different signal conditions were presented: (1) signals only after S+ responses, (2) signals only after S– responses, (3) differential signals after S+ versus S– responding, and (4) the same nondifferential signals after S+ and S– responses. (A zero-delay control condition was also included.) Learning was at a high level in the S+ -only and differential-signal conditions, and learning was at a low level during the unsignaled, nondifferentially signaled, and S– signal conditions. Thus, a differential stimulus contingent on correct choices was necessary for proficient learning-to-learn, even though within-reversal learning occurred in all conditions. During the S+ and differential-signal conditions, improvement in learning continued to occur even after more than 240 reversals (more than 38,000 trials).