Neural network models of categorical perception

Neural network models of categorical perception.

Studies of the categorical perception (CP) of sensory continua have a long and rich history in psychophysics. In 1977, Macmillan, Kaplan, and Creelman introduced the use of signal detection theory to CP studies. Anderson and colleagues simultaneously proposed the first neural model for CP, yet this line of research has been less well explored. In this paper, we assess the ability of neural-netw...

A Simple Neural Network Models Categorical Perception of Facial Expressions

The performance of a neural network that categorizes facial expressions is compared with human subjects over a set of experiments using interpolated imagery. The experiments for both the human subjects and neural networks make use of interpolations of facial expressions from the Pictures of Facial Affect Database [Ekman and Friesen, 1976]. The only difference in materials between those used in ...

Neural Models of Cp 1 Running Head: Neural Models of Cp Neural Network Models of Categorical Perception

Neural Correlates of Categorical Perception of Speech

One of the phenomena most closely associated with speech perception is categorical perception. v Categorical perception refers to a poor ability to discriminate between members of the same category and a very good ability to discriminate between members of different categories. As applied to speech, this implies good discrimination between different phonemes and poor discrimination between diff...

Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to estimate reference evapotranspiration in order to determine the best model in terms of efficienc...