Predicting shifts in generalization gradients with perceptrons
نویسندگان
چکیده
منابع مشابه
Predicting shifts in generalization gradients with perceptrons.
Perceptron models have been used extensively to model perceptual learning and the effects of discrimination training on generalization, as well as to explore natural classification mechanisms. Here, we assess the ability of existing models to account for the time course of generalization shifts that occur when individuals learn to distinguish sounds. A set of simulations demonstrates that commo...
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Learning to discriminate stimuli can alter how one distinguishes related stimuli. For instance, training an individual to differentiate between two stimuli along a single dimension can alter how that individual generalizes learned responses. In this study, we examined the persistence of shifts in generalization gradients after training with sounds. University students were trained to differenti...
متن کاملLearning-related shifts in generalization gradients for complex sounds
entially judge novel stimuli as predictive of a learned consequence on the basis of the novel stimuli’s similarity to stimuli experienced during learning (Shepard, 1987). The phenomenon is often studied experimentally by training a subject to respond to one stimulus (S ). Generalization is then measured by removing feedback, presenting novel stimuli, and measuring responses to stimuli that are ...
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Neural network models have been used extensively to model perceptual learning and the effects of discrimination training on generalization, as well as to explore natural classification mechanisms. Here we assess the ability of existing models to account for the time course of generalization shifts that occur when individuals learn to distinguish sounds. A set of simulations demonstrates that co...
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We study the evolution of the generalization ability of a simple linear perceptron with N inputs which learns to imitate a "teacher perceptron". The system is trained on p = aN binary example inputs and the generalization ability measured by testing for agreement with the teacher on all 2N possible binary input patterns. The dynamics may be solved analytically and exhibits a phase transition fr...
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ژورنال
عنوان ژورنال: Learning & Behavior
سال: 2011
ISSN: 1543-4494,1543-4508
DOI: 10.3758/s13420-011-0050-6