Inferring nonlinear computation in multilayered neural circuits
Abstract/Contents
- Abstract
- The brain performs of a remarkable variety of computations. These computations arise in circuits comprised of interconnected neurons and mediated by a rich diversity of biophysical mechanisms. Neuroscientists are tasked with characterizing and understanding this complexity using a combination of experimental and theoretical tools. In particular, we typically have to infer computations and mechanisms underlying neural processing given limited experimental recordings. In this thesis, I describe my work on developing and applying computational tools to study these issues in multilayered neural circuits in the retina. Specifically, I am interested in the following fundamental questions: What computations do early sensory neurons perform on their inputs? How do biophysical mechanisms mediate these computations? And finally, what can we infer about these computations and mechanisms given partial experimental observation of a multilayered circuit? Chapter 1 introduces these questions in more detail, and Chapter 2 covers relevant background material. Chapter 3 discusses quantitatively the relationship between these encoding models and commonly used descriptive statistics of the neural code. Chapter 4 explores a particular encoding model, a two layer linear-nonlinear cascade (LN-LN). Chapter 5 uses encoding models to better understand the retinal response to natural scenes. Finally, Chapter 6 discusses implications of this work and touches on future directions.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2017 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Maheswaranathan, Niru |
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Associated with | Stanford University, Department of Neurosciences. |
Primary advisor | Baccus, Stephen A |
Primary advisor | Ganguli, Surya, 1977- |
Thesis advisor | Baccus, Stephen A |
Thesis advisor | Ganguli, Surya, 1977- |
Thesis advisor | Boahen, Kwabena (Kwabena Adu) |
Thesis advisor | Newsome, William T |
Thesis advisor | Raymond, Jennifer L |
Advisor | Boahen, Kwabena (Kwabena Adu) |
Advisor | Newsome, William T |
Advisor | Raymond, Jennifer L |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Niru Maheswaranathan. |
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Note | Submitted to the Department of Neurosciences. |
Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Niruban Maheswaranathan
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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