Metadata-Version: 2.1
Name: brainmodels
Version: 0.3.5
Summary: BrainModels: Brain models implemented with BrainPy
Home-page: https://github.com/PKU-NIP-Lab/BrainModels
Author: BrainPy team
Author-email: chao.brain@qq.com
License: UNKNOWN
Description: # BrainModels
        
        [![LICENSE](https://img.shields.io/github/license/PKU-NIP-Lab/BrainModels)](https://github.com/PKU-NIP-Lab/BrainPy-Models)    [![Documentation](https://readthedocs.org/projects/brainpy/badge/?version=latest)](https://brainmodels.readthedocs.io/en/latest/)    [![PyPI version](https://badge.fury.io/py/brainmodels.svg)](https://badge.fury.io/py/brainmodels)
        
        ``BrainModels`` provides standard and canonical brain models (including various neurons, synapses, networks, and intuitive paper examples) which are implemented with [BrainPy](https://brainpy.readthedocs.io/) simulator. Moreover, we welcome your brain model implementations, and publish them through our [GitHub](https://github.com/PKU-NIP-Lab/BrainModels) homepage. In such a way, once your new model is implemented, it can be easily shared with other BrainPy users.
        
        
        
        Currently, we provide the following standard models:
        
        
        | Neuron Models                        | Synapse Models                 | Learning Rules |
        | ------------------------------------ | ------------------------------ | -------------- |
        | Leaky integrate-and-fire model       | Alpha Synapse                  | STDP           |
        | Exponential integrate-and-fire model | AMPA / NMDA                    | BCM rule       |
        | Quadratic integrate-and-fire         | GABAA / GABAB                  | Oja\'s rule    |
        | Adaptive Exponential IF model        | Exponential Decay Synapse      |                |
        | Adaptive Quadratic IF model          | Difference of Two Exponentials |                |
        | Generalized IF model                 | Short-term plasticity          |                |
        | Izhikevich model                     | Gap junction                   |                |
        | Hodgkin-Huxley model                 | Voltage jump                   |                |
        | Morris-Lecar model                   |                                |                |
        | Hindmarsh-Rose model                 |                                |                |
        
        
        
        ## Installation
        
        Install `BrainModels` using `pip`:
        
        ```bash
        > pip install brainmodels
        ```
        
        Install from source code:
        
        ```bash
        > pip install git+https://github.com/PKU-NIP-Lab/BrainModels
        ```
        
        
        
        `BrainModels` is based on Python (>=3.6), and the following packages need to be installed to use `BrainModels`:
        
        -   brain-py >= 1.1.0
        
        
Keywords: computational neuroscience,brain-inspired computation,
Platform: UNKNOWN
Classifier: Natural Language :: English
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.6
Description-Content-Type: text/markdown
