The behavioral treatment of auditory hallucinatory responding of a schizophrenic patient.

This study assessed the efficacy of a behaviorally based treatment package to decrease the frequency of verbal responding to auditory hallucinations and to increase attention to important external stimuli, rather than to the hallucinations. The subject, a 49-year-old male, with a 20-year history of auditory hallucinatory responding (AHR), laughing and talking to himself, was seen in an outpatient clinic. Observations were made during management skill training, given usually twice a week.

Maintained nodal-distance effects in equivalence classes.

Twelve subjects were trained to select one of two stimuli from a pair (the B pair) when presented with one of two stimuli from another pair (the A pair), thus establishing two AB relations, A1-B1 and A2-B2. In a similar fashion, additional stimuli were used to establish BC, CD, and DE relations. Trials used to train all relations occurred in each session.

A neural network approach to the classification of autism.

A nonlinear pattern recognition system, neural network technology, was explored for its utility in assisting in the classification of autism. It was compared with a more traditional approach, simultaneous and stepwise linear discriminant analyses, in terms of the ability of each methodology to both classify and predict persons as having autism or mental retardation based on information obtained from a new structured parent interview: the Autistic Behavior Interview. The neural network methodology was superior to discriminant function analysis both in its ability to classify groups (92 vs.