Machine Learning as Tool and Theory in Computational Neuroscience

Intro

Introduction
Neurophysiology practice and the complexity of sensory cortex
Learning and its consequences
Structure of this dissertation

Chapters

Hue tuning curves in V4 change with visual context
Modern machine learning as benchmark for encoding models
The Four Roles of Supervised Machine Learning in Systems Neuroscience
A role for cortical interneurons as adversarial discriminators
Measuring and regularizing networks in function space
Efficient neural codes naturally emerge through gradient descent learning

Conclusions

Conclusions
Acknowledgements

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Contents

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This is a version of my PhD dissertation that is designed to be read online. This format was developed by Patrick Minealt for The Good Research Code Handbook, which itself which builds on Sphinx and tufte.css.

If you would like to read this dissertation in a more traditional format, you can navigate to the PDF version hosted on ProQuest.

A DISSERTATION in Bioengineering

By Ari Benjamin

University of Pennsylvania, 2022

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Introduction

By Ari Benjamin This is an online version of my PhD dissertation, submitted to UPenn in 2022.
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