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Table of contents
Introduction
I Sophisticated structure, complex functions: the retina
I.1 Anatomy of the retina
I.2 Stimulus encoding by retinal ganglion cells
II Correlations in neural systems: models of population activity
II.1 Instantaneous correlations
II.2 Temporal correlations
IIIA tractable method for describing complex couplings between neurons and population rate
III.1 Introduction
III.2 Materials and Methods
III.3 Results
III.4 Discussion
III.5 Mathematical derivations
IV Closed-loop Estimation of Retinal Network Sensitivity by Local Empirical Linearization
IV.1 Introduction
IV.2 Materials and Methods
IV.3 Results
IV.4 Discussion
IV.5 Mathematical derivations
V Accurate discrimination of population responses in the retina using neural metrics learned from activity patterns
V.1 Introduction
V.2 Materials and Methods
V.3 Results
V.4 Discussion
VI Discussion
VI.1 Population correlations
VI.2 Discrimination
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