Neural Networks for Statistical Modeling
Neural Networks for Statistical Modeling
Conceptual Spaces as Voltage Maps
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
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Accounts of perceptual decision making, such as evidence accrual models, represent mental states as noisy numerical vectors describing the stimuli. As such, these are not biological models. An alternative scheme is presented in which mental states are represented as functions. This generalises an analogue coding scheme for numbers, and might be biologically implemented as functions of cortical activity. Some properties of this representation are illustrated in modelling accuracy and response time patterns observed in a classic experiment into perceptual processes.