パッケージ: python-brian (1.4.3-1)
python-brian に関するリンク
Trisquel の資源:
brian ソースパッケージをダウンロード:
メンテナ:
Original Maintainers:
- NeuroDebian Team
- Yaroslav Halchenko
- Michael Hanke
外部の資源:
- ホームページ [www.briansimulator.org]
類似のパッケージ:
simulator for spiking neural networks
Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include:
- a system for specifying quantities with physical dimensions - exact numerical integration for linear differential equations - Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations - synaptic connections with delays - short-term and long-term plasticity (spike-timing dependent plasticity) - a library of standard model components, including integrate-and-fire equations, synapses and ionic currents - a toolbox for automatically fitting spiking neuron models to electrophysiological recordings
その他の python-brian 関連パッケージ
|
|
|
-
- dep: python
- interactive high-level object-oriented language (default version)
-
- dep: python-brian-lib (>= 1.4.3-1)
- simulator for spiking neural networks -- extensions
-
- dep: python-matplotlib (>= 0.90.1)
- Python based plotting system in a style similar to Matlab
-
- dep: python-numpy (>= 1.3.0)
- Numerical Python adds a fast array facility to the Python language
-
- dep: python-scipy (>= 0.7.0)
- scientific tools for Python
-
- rec: python-sympy
- Computer Algebra System (CAS) in Python
-
- sug: python-brian-doc
- simulator for spiking neural networks - documentation
-
- sug: python-cherrypy
- Python web development framework
-
- sug: python-nose
- test discovery and running of Python's unittest