https://github.com/brody-lab/trialhistory_lapses_ea

This repository contains code for generating figures for the manuscript "Trial-history biases in evidence accumulation can give rise to apparent lapses"
https://github.com/brody-lab/trialhistory_lapses_ea

Last synced: 6 months ago
JSON representation

This repository contains code for generating figures for the manuscript "Trial-history biases in evidence accumulation can give rise to apparent lapses"

• Host: GitHub
• URL: https://github.com/brody-lab/trialhistory_lapses_ea
• Owner: Brody-Lab
• License: apache-2.0
• Created: 2023-09-09T11:09:59.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-11-20T17:04:19.000Z (over 2 years ago)
• Last Synced: 2025-04-02T12:37:49.480Z (over 1 year ago)
• Language: MATLAB
• Homepage:
• Size: 144 KB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Trialhistory_lapses_EA 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10161052.svg)](https://doi.org/10.5281/zenodo.10161052)

## Overview

This repository contains the code necessary for generating figures related to the manuscript titled "Trial-history biases in evidence accumulation can give rise to apparent lapses."

The associated data for this manuscript can be found at dx.doi.org/10.6084/m9.figshare.24113793

## Usage Instructions

To reproduce the figures presented in the paper, follow these steps:

1. Clone this repository to your local machine using your preferred method.

2. Download the required data from the figshare link provided above.

3. Edit the following paths in the `master_startup.m` file:

   - Base directory (`path.base`)

   - Data directory (`path.data_save`)

   - Source data directory (`path.mat_save')

   - Directory for saving figures (`path.fig_save`)

4. Run the `make_figures.m` script to generate the main figures. Supplementary figure code can be found in their respective folders.

This should take less than 10 minutes to run on a Mac with 96GB memory.

## Accumulator Model Fits

The fits to accumulator models were performed using code developed within the Julia package available at [https://github.com/Brody-Lab/PulseInputDDM](https://github.com/Brody-Lab/PulseInputDDM).

If you are interested in using this code or have any questions, please feel free to get in touch with us at diksha.gupta@ucl.ac.uk.

## Software 

This code has been tested with Matlab R2020a on Mac OS 13.2. 

For any inquiries related to the manuscript or this repository, don't hesitate to reach out.