# replication-recanatesi-2015-article

**Repository Path**: mirrors_rougier/replication-recanatesi-2015-article

## Basic Information

- **Project Name**: replication-recanatesi-2015-article
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: CC-BY-4.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-21
- **Last Updated**: 2026-09-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4396275.svg)](https://doi.org/10.5281/zenodo.4396275)

Replication of Recanatesi et al. (2015) "Neural Network Model of Memory Retrieval"
==================================================================================

Replication authors: [Carlos de la Torre-Ortiz](https://github.com/c-torre) and [Aurélien Nioche](https://github.com/AurelienNioche/).

Original article: S. Recanatesi, M. Katkov, S. Romani, M. Tsodyks, Neural Network Model of Memory Retrieval, Frontiers in Computational Neuroscience. 9 (2015) 149. [doi:10.3389/fncom.2015.00149](https://doi.org/10.3389/fncom.2015.00149).

Recanatesi *et al.* present a model of memory retrieval based on a Hopfield model for associative learning, with network dynamics that reflect associations between items due to semantic similarities.

This repository contains the source of the [Rescience C](https://rescience.github.io/) article, based on their Overleaf [template](https://github.com/rescience/template).
Code available at [c-torre/replication-recanatesi-2015](https://github.com/c-torre/replication-recanatesi-2015) as well as archived at Zenodo (check badge).

Usage
-----

```bash
$ make
```

This will produce an `article.pdf` using xelatex and provided font.

License
-------

Creative Commons Attribution (CC BY) license, as all Rescience C published works.
Some files (e.g. fonts) have their own license.