How to Compare Two Quantities? A Computational Model of Flutter Discrimination

Authors:
Tom Verguts
Affiliations:
-
Venue:
Journal of Cognitive Neuroscience
Year:
2007

Citing 5
Cited 0

Neural network model of the cerebellum: temporal discrimination and the timing of motor responses

Neural Computation
Introduction to the Theory of Neural Computation

Introduction to the Theory of Neural Computation
A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures

Neural Computation
Representation of Number in Animals and Humans: A Neural Model

Journal of Cognitive Neuroscience
Analog Numerical Representations in Rhesus Monkeys: Evidence for Parallel Processing

Journal of Cognitive Neuroscience

Quantified Score

Hi-index	0.00

Visualization

Abstract

A task that has been intensively studied at the neural level is f lutter discrimination. I argue that f lutter discrimination entails a combination of a temporal assignment problem and a quantity comparison problem, and propose a neural network model of how these problems are solved. The network combines unsupervised and one-layer supervised training. The unsupervised part clusters input features (stimulus + time window) and the supervised part categorizes the resulting clusters. After training, the model shows a good fit with both neural and behavioral properties. New predictions are outlined and links with other cognitive domains are pointed out.