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Bernal S D_2010.pdf - University of Plymouth

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Contents<br />

Ab.stract V<br />

AcknowlcdRcnients XV<br />

Author's declaration xvii<br />

1 Introduction 1<br />

I. I Overview I<br />

1.2 Main contributions 3<br />

2 Object perception in the visual cortex 5<br />

2.1 Object recognition 5<br />

2.1.1 Principles and experimental evidence 5<br />

2.1.2 Tlieorelical and compulalioniil models 15<br />

2.2 High-level feedbaci; 24<br />

2.2.1 Experimental evidence 24<br />

2.2.2 Tiieoretical implications 33<br />

2.2.3 Functional models <strong>of</strong> feedback 39<br />

2.3 Illusory and occluded contours 49<br />

2.3.1 Experimental evidence 50<br />

2.3.2 Theoretical and Computational Models 54<br />

2.4 Original contributions in this chapter 64<br />

3 Uayesian networks and hclicf propagation 65<br />

3.1 The Bayesian brain hypothesis 65<br />

3.1.1 Generative models 65<br />

3.1.2 Bayesian inference 66<br />

3.1.3 Free-energy principle 68<br />

3.1.4 Origins 70<br />

3.2 Evidence from the brain 71<br />

3.3 Dclinition and mathematical formulation 74<br />

vii

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