# chaotic_rnn

**Repository Path**: sumoJun/chaotic_rnn

## Basic Information

- **Project Name**: chaotic_rnn
- **Description**: 于万波老师，动力系统概论课程大作业：
                       比较，在不同条件下，利用随机矩阵生成的具有混沌活动的RNN神经元放电率
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-28
- **Last Updated**: 2021-06-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 混沌RNN
jupyter笔记本演示内部生成的RNN（混沌动力学）

### 学习中参考的引文：相关混沌动力学论文 

Sompolinsky, H., Crisanti, A., Sommers, H.J., 1988. Chaos in Random Neural Networks. Phys. Rev. Lett. 61, 259–262. https://doi.org/10.1103/PhysRevLett.61.259

Rajan, K., Abbott, L.F., Sompolinsky, H., 2010. Stimulus-dependent suppression of chaos in recurrent neural networks. Physical Review E 82, 11903. https://doi.org/10.1103/PhysRevE.82.011903

Stern, M., Sompolinsky, H., Abbott, L.F., 2014. Dynamics of random neural networks with bistable units. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 90, 1–7. https://doi.org/10.1103/PhysRevE.90.062710