https://github.com/braph-software/memorycapacity

This repository contains "Memory Capacity", a pipeline of BRAPH 2.0 software that uses the reservoir computing framework to calculate both global and regional memory capacity of a network. Reference: "Computational memory capacity predicts aging and cognitive decline" by Mijalkov et al. (2025).

https://github.com/braph-software/memorycapacity

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.0%) to scientific vocabulary

Keywords

aging brain-connectivity neuroscience-methods reservoir-computing
Last synced: 5 months ago · JSON representation

Repository

This repository contains "Memory Capacity", a pipeline of BRAPH 2.0 software that uses the reservoir computing framework to calculate both global and regional memory capacity of a network. Reference: "Computational memory capacity predicts aging and cognitive decline" by Mijalkov et al. (2025).

Basic Info
  • Host: GitHub
  • Owner: braph-software
  • Language: MATLAB
  • Default Branch: develop
  • Homepage: http://braph.org/
  • Size: 90.4 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 1
  • Open Issues: 4
  • Releases: 2
Topics
aging brain-connectivity neuroscience-methods reservoir-computing
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

BRAPH 2

BRAPH 2 BRAPH 2 cite us GitHub release (latest by date) Zenodo

BRAPH 2 Memory Capacity

The BRAPH 2 Memory Capacity is a BRAPH 2 distribution that uses the reservoir computing approach to calculate both global and regional memory capacity. This pipeline has been used to derive the results in the manuscript: “Computational memory capacity predicts aging and cognitive decline” by Mijalkov et al. (2025).

This distribution utilizes the necessary analytical functionalities of the standard BRAPH 2 distribution. More information about the analysis and how to use the interfaces can be found in the main BRAPH 2 repository. The full tutorials are available here.

Memory Capacity Tutorial

The tutorial for the memory capacity pipeline (fully integrated in BRAPH 2 framework) shows how to calculate the global and regional memory capacity for each subject and compare between groups of subjects. This pipeline can be used both from MATLAB command line or through the Graphical User Interfaces. The codes implementing the global and regional memory capacity are located in the memorycapacity folder.

Software compilation

The compiled version of the software is already provided in this repository under braph2memorycapacity folder. However, if you need to recompile the software again (for example, after implementing new functionalities or adding new pipelines), you can do so by running the braph2genesis function with the command braph2genesis('braph2memorycapacity_config.m'). This will re-generate braph2memorycapacity folder which can then be used as explained above. WARNING: To ensure a successful compilation, the braph2memorycapacity folder should be erased and all of its dependencies should be removed from the MATLAB path. This folder will be regenerated after a successful compilation.

Owner

  • Name: braph-software
  • Login: braph-software
  • Kind: organization

GitHub Events

Total
  • Create event: 16
  • Issues event: 8
  • Release event: 2
  • Delete event: 13
  • Issue comment event: 6
  • Push event: 65
  • Pull request review event: 1
  • Pull request event: 27
Last Year
  • Create event: 16
  • Issues event: 8
  • Release event: 2
  • Delete event: 13
  • Issue comment event: 6
  • Push event: 65
  • Pull request review event: 1
  • Pull request event: 27

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 5
  • Total pull requests: 14
  • Average time to close issues: 1 day
  • Average time to close pull requests: 3 days
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 0.2
  • Average comments per pull request: 0.0
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 14
  • Average time to close issues: 1 day
  • Average time to close pull requests: 3 days
  • Issue authors: 1
  • Pull request authors: 3
  • Average comments per issue: 0.2
  • Average comments per pull request: 0.0
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • c-yuwei (5)
Pull Request Authors
  • c-yuwei (11)
  • mitemijalkov (2)
  • hanzh346 (1)
  • bzufiriaki (1)
  • egolol (1)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels