*Carter Hinsley’s mathematics and neuroscience blog*

# Posts

### April 2024

Truncated tent maps and the Sharkovsky stratification

### December 2023

Mathematical expositions on Transformers

### November 2023

Locally certified approximate trajectories in finite-dimensional dynamical systems

### October 2023

Deriving special relativity: Lorentz from Lie alge*bras*

### June 2023

Backing up Gerby to GitHub

### April 2023

Installing Gerby on AWS EC2

### March 2023

Lagrange-Charpit equations

### February 2023

Lie algebra prolongation table

### January 2023

Galois groups and polynomial solvability

### November 2022

A model for the Jevons paradox

### October 2022

Dynamic Mode Decomposition Playground

Time-Delay Embedding Playground

### July 2022

Existence Criteria for Utilitarian Preference Relations

### April 2022

Grothendieck: Allons-nous continuer la recherche scientifique?

### November 2020

The Empire of Business — Andrew Carnegie

### September 2020

Curated Papers: September 2020

Feynman's Trick: Differentiation under the integral sign

### August 2020

Curated Papers: August 2020

Deriving Binet's Formula

Hacker's Bookshelf

Newton's Method and Fast Numeric Roots

Primary (Actionable) Predictors

Read Hard Books

Resources on Sheiko's load patterns

Task Priming

You Cannot Plan for Tomorrow

### July 2020

Curated Papers: July 2020

Riemann, Euler, Verhulst

# About Me

I am a Mathematics PhD student interested in the application of differential geometry and information theory to reinforcement learning and neural networks — both biological and artificial.

Lately I have been conducting research in neurodynamical systems and the topological theory of chaos.

GitHub

Most people can benefit from this reading list.