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Source code of the slides for the lecture "Analogical Reasoning" given on 2021⁠-⁠10⁠-⁠06 as Module 6 of Neuroscience 299: Computing with High-Dimensional Vectors at the Redwood Center for Theoretical Neuroscience, University of California, Berkeley

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rgayler/VSA_2021_Fall_Berkeley_Analogy

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Analogical Reasoning

Ross Gayler 2021-10-06

DOI License: CC BY 4.0

This repository contains the source code of the slides for the lecture “Analogical Reasoning” given on 2021⁠-⁠10⁠-⁠06 as Module 6 of Neuroscience 299: Computing with High-Dimensional Vectors at the Redwood Center for Theoretical Neuroscience, University of California, Berkeley.

The purpose of this repository is to archive the source code for creating the presentation.

Related materials

All the materials related to this lecture have been archived on Zenodo:

DOI Video recording of lecture

DOI Slides (PDF)

DOI Source code of slides (this repository)

Project structure

This code is structured as an RStudio project using the R programming language and Rmarkdown.

I assume you know how to run an R project, so won’t go through all the details of installation.

This project relies on the renv package to record the versions of all the packages used by the project. You will need to have renv installed. Call renv::restore() from within the project to install all the versions of the packages used in this project.

The assets/ directory contains the images used in the slides. These images are copied from various papers and these sources are acknowledged in the slides.

Files

lecture.Rmd - Rmarkdown source code for the slides as an ioslides presentation.

lecture.html - The slides rendered as an HTML document. Open the file with a web browser to give the presentation. The aspect ratio is 16:9.

lecture.pdf - The slides rendered as a PDF document. This was created by printing the presentation to PDF from the web browser. The aspect ratio is 4:3.

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Source code of the slides for the lecture "Analogical Reasoning" given on 2021⁠-⁠10⁠-⁠06 as Module 6 of Neuroscience 299: Computing with High-Dimensional Vectors at the Redwood Center for Theoretical Neuroscience, University of California, Berkeley

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