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URL: https://thesis.uni.zapadlo.name/
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Text Content

 1. Front matter

Computational analysis in neuroscience


 * Front matter
 * 1  Introduction
 * Bibliography




SECTIONS

 * Copyright notice
 * Abstract
 * Declaration
 * Acknowledgements


COMPUTATIONAL ANALYSIS IN NEUROSCIENCE

Author

Štěpán Zapadlo

A thesis submitted for the Master’s degree at Masaryk University, Department of
Mathematics and Statistics, Brno.


COPYRIGHT NOTICE

Produced on 14 November 2024.

© Štěpán Zapadlo (2024).


ABSTRACT


 * English
 * Czech

Aaaa

Abstrakt to jest


DECLARATION


 * English
 * Czech

This thesis is an original work of my research and contains no material which
has been accepted for the award of any other degree or diploma at any university
or equivalent institution and that, to the best of my knowledge and belief, this
thesis contains no material previously published or written by another person,
except where due reference is made in the text of the thesis.

Dělal jsem na tom sám a celé stack overflow

REPRODUCIBILITY STATEMENT

This thesis is written using Quarto with renv (renv?) and Julia to create a
reproducible environment. All materials (including the data sets and source
files) required to reproduce this document can be found at the GitLab repository
gitlab.com/sceptri-university/muni-thesis.

This work is licensed under a Creative Commons
Attribution-NonCommercial-ShareAlike 4.0 International License.


ACKNOWLEDGEMENTS


 * English
 * Czech

I’d like to thank…

Chci poděkovat

Ahmadi, Amir Ali, and Pablo A. Parrilo. 2013. “Stability of Polynomial
Differential Equations: Complexity and Converse Lyapunov Questions.”
https://arxiv.org/abs/1308.6833.
BARZILAI, JONATHAN, and JONATHAN M. BORWEIN. 1988. “Two-Point Step Size Gradient
Methods.” IMA Journal of Numerical Analysis 8 (1): 141–48.
https://doi.org/10.1093/imanum/8.1.141.
Kidger, Patrick. 2022. “On Neural Differential Equations.”
https://arxiv.org/abs/2202.02435.
Luo, Albert C. J. 2009. “A Theory for Synchronization of Dynamical Systems.”
Communications in Nonlinear Science and Numerical Simulation 14 (5): 1901–51.
https://doi.org/https://doi.org/10.1016/j.cnsns.2008.07.002.
Pikovsky, Arkady, Michael Rosenblum, and Jürgen Kurths. 2001. Synchronization: A
Universal Concept in Nonlinear Sciences. Cambridge University Press.
https://doi.org/10.1017/cbo9780511755743.
Willms, Allan R., Petko M. Kitanov, and William F. Langford. 2017. “Huygens’
Clocks Revisited.” Royal Society Open Science 4 (9): 170777.
https://doi.org/10.1098/rsos.170777.
Zhou, Danqing, Shiqian Ma, and Junfeng Yang. 2024. “AdaBB: Adaptive
Barzilai-Borwein Method for Convex Optimization.”
https://arxiv.org/abs/2401.08024.
1  Introduction
 
 

 * License