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Table of contents
1| Introduction
1.1 Magnitudes in the Brain
1.1.1 The Weber-Fechner law
1.1.3 Regression effect
1.2 Same mechanisms for the processing of time, space and number?
1.2.1 The parietal lobe in fMRI studies
1.2.2 The parietal lobe in clinical studies
1.3 A Theory Of Magnitudes (ATOM)
1.3.1 A common metric for time, space and number
1.3.2 Investigating the directional symmetry imposed by a common metric
1.3.3 A common metric implies a scaling effect between magnitudes
1.4 A Bayesian Perspective on Magnitude Estimations
1.5 Aim of this thesis
2| A Bayesian Perspective on Accumulation in the Magnitude System
2.1 Summary
2.2 Reference
3| A Theory Of Magnitudes
3.1 A Common Metric for Time, Space and Number and the issue of scaling
3.2 Static vs. Dynamic displays and the direction of interference effects
3.3 Numerical magnitude affects temporal encoding, not temporal reproduction
3.4 Non symbolic magnitude is automatically processed, not the symbolic one
4| The larger the longer, but not all the time
4.1 Summary
4.2 Materials & Methods
4.3 Results
4.4 Discussion & Conclusion
5| Discussion and Conclusion
5.1 A common neural code for Time, Space and Number?
5.2 From a Bayesian perspective, time, space and number do not share the same priors
5.3 The rate of accumulation of sensory evidence interferes with Numerical and Spatial estimates
5.4 Perceived duration does not always increase as a function of the tested numerosity: no scaling effect
5.5 Non-temporal magnitudes do not interfere with duration at a perceptual level
5.6 The number-time interaction is modulated by attention and numerical format
5.7 Conclusions
Bibliography
