https://github.com/exios66/cog_neuroscience_organization
https://github.com/exios66/cog_neuroscience_organization
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/exios66/cog_neuroscience_organization
- Owner: Exios66
- Created: 2025-03-05T14:24:16.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-05T15:44:58.000Z (over 1 year ago)
- Last Synced: 2025-03-14T09:19:48.162Z (over 1 year ago)
- Language: Python
- Size: 99.6 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# Cog_Neuroscience_Organization
# 
Organization Repository
*Exploring the neural basis of cognition through innovative research, tools, and collaboration*
![Brain Banner Description: A sleek visualization of neural networks with brain activation patterns in blues and purples]
## Repository Status
[License
[Documentation Status
[GitHub issues
[DOI
[Maintenance
[Website shields.io
## Technologies & Frameworks
[Python
[R
[MATLAB
[TensorFlow
[PyTorch
[Jupyter
## Neuroscience Tools
Neuroaesthetics
Neuroimaging
Brain Atlas
fMRI
EEG
## Overview
The Cognitive Neuroscience Organization is dedicated to advancing our understanding of brain-behavior relationships through cutting-edge research, tool development, and educational initiatives. Our repository serves as a central hub for our projects, datasets, analysis pipelines, and educational resources in the field of cognitive neuroscience.
Our interdisciplinary team combines expertise in neuroscience, psychology, computer science, and statistics to develop innovative approaches for studying the neural mechanisms underlying cognitive processes such as perception, attention, memory, language, and decision-making.
## Repository Contents
This repository is organized into several main components:
| Directory | Description |
|-----------|-------------|
| `/projects` | Research projects with replicable analysis pipelines |
| `/tools` | Custom software tools for neuroimaging and data analysis |
| `/datasets` | Curated datasets and references to public neuroscience data |
| `/tutorials` | Educational materials and hands-on guides |
| `/publications` | References and materials related to our published work |
| `/documentation` | Comprehensive documentation for all resources |
## Featured Projects
### NeuroBridge
An advanced platform for discovering long-tail neuroimaging data, incorporating ontology-based search with natural language text-mining approaches. This tool facilitates identification of papers and datasets relevant to specific research questions in neuroimaging[2].
### Flexible Annotation Atlas
A customizable framework for brain region annotation that allows researchers to combine and divide brain structures while maintaining anatomical hierarchy. This tool addresses the challenge of inconsistent regions-of-interest definitions across studies[5].
### Aesthetic Experience Framework
A computational model for understanding aesthetic appreciation based on the integration of sensory-motor, emotion-valuation, and meaning-knowledge neural systems. This project investigates how the brain computes aesthetic value across different stimuli[10][16].
## Getting Started
### Prerequisites
```
Python 3.8+
R 4.0+
FSL or SPM for neuroimaging analysis
```
### Installation
```bash
# Clone the repository
git clone https://github.com/Exios66/Cog_Neuroscience_Organization.git
# Navigate to the repository
cd Cog_Neuroscience_Organization
# Create and activate virtual environment
python -m venv env
source env/bin/activate # On Windows: env\Scripts\activate
# Install dependencies
pip install -r requirements.txt
```
## Usage Example
```python
from cog_neuro.imaging import preprocess
from cog_neuro.analysis import functional_connectivity
# Load sample dataset
data = preprocess.load_dataset('sample_fmri_data.nii.gz')
# Preprocess the data
preprocessed_data = preprocess.standard_pipeline(data,
motion_correction=True,
spatial_smoothing=True,
temporal_filtering=True)
# Compute functional connectivity matrix
fc_matrix = functional_connectivity.compute_correlation_matrix(preprocessed_data,
atlas='harvard_oxford')
# Visualize the connectivity matrix
functional_connectivity.plot_matrix(fc_matrix)
```
## Contributing
We welcome contributions from researchers, developers, and students passionate about cognitive neuroscience! Please see our [CONTRIBUTING.md](https://github.com/Exios66/Cog_Neuroscience_Organization/blob/main/CONTRIBUTING.md) file for guidelines on how to contribute.
## Documentation
Comprehensive documentation is available in the `/documentation` directory and on our [Wiki](https://github.com/Exios66/Cog_Neuroscience_Organization/wiki).
## Team
Our organization brings together researchers and developers with diverse expertise in cognitive neuroscience, neuroimaging methods, and computational approaches:
- **Principal Investigators**: Leads research initiatives and sets strategic direction
- **Data Scientists**: Develop computational models and analysis pipelines
- **Neuroimaging Specialists**: Expertise in acquisition and analysis of brain data
- **Software Engineers**: Build and maintain research tools and infrastructure
- **Graduate Students & Postdocs**: Conduct cutting-edge research projects
## License
This project is licensed under the MIT License - see the [LICENSE](https://github.com/Exios66/Cog_Neuroscience_Organization/blob/main/LICENSE) file for details.
## Contact
[Email
[Twitter
[LinkedIn
## Acknowledgments
We gratefully acknowledge funding support from the National Institutes of Health, National Science Foundation, and private foundations. We also thank the broader neuroscience community for their collaborative spirit and shared commitment to advancing our understanding of the brain.
---
Sources
[1] Aesthetics and Cognitive Science
[2] NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data
[3] List of Markdown badges, no not Discourse badges, those little ...
[4] The Cognitive Neuroscience of Aesthetic Experience
[5] Flexible annotation atlas of the mouse brain: combining and dividing brain structures of the Allen Brain Atlas while maintaining anatomical hierarchy
[6] ABNN Digital Badges
[7] Neuroaesthetics: The Cognitive Neuroscience of Aesthetic Experience
[8] Whole Mouse Brain Reconstruction and Registration to a Reference Atlas with Standard Histochemical Processing of Coronal Sections
[9] Awesome Badges - DEV Community
[10] [PDF] Psychology of Aesthetics, Creativity, and the Arts
[11] EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience
[12] How to make custom language badges for your profile using shields.io
[13] Research | Penn Center for Neuroaesthetics | Perelman School of ...
[14] Establishment of an optimized and automated workflow for whole brain probing of neuronal activity
[15] How to display AnyBadge on GitHub README? - Stack Overflow
[16] Neural mechanisms underlying the hierarchical construction of ...
[17] SMART: An Open-Source Extension of WholeBrain for Intact Mouse Brain Registration and Segmentation
[18] Welcome! Badges 4 README.md Profile - GitHub
[19] Brain and Art: The Neuroscience of Aesthetic Appreciation by Oshin ...
[20] ️ A list of all profile badges and how to obtain each one 🛡️ - GitHub
[21] NeurIPS 2023 Style Files
[22] Frontiers | NeuroEditor: a tool to edit and visualize neuronal morphologies
[23] Neuroscience Badge - Curiosity Untamed Store