image thumbnail

DynaSim/DynaSim

버전 1.1 (3 MB) 작성자: Jason Sherfey
DynaSim simplifies the process of building and simulating models of dynamical systems.

다운로드 수: 1.1K

업데이트 날짜: 2022/2/2

GitHub에서 호스트

GitHub에서 라이선스 보기

DynaSim

Join the chat at https://gitter.im/DynaSim/DynaSim

This is the home of the DynaSim Toolbox for modeling and simulating dynamical systems in MATLAB and GNU Octave!

See the DynaSim Toolbox in action, with Getting started tutorial and the UnbiasedCompetition demonstration live script.

Quick Install:

  • Full instructions are online.
  • In brief:
    1. Download the toolbox, and add it to your MATLAB or GNU Octave path.
      • Download it as a Zip file or clone it from the Terminal: git clone https://github.com/DynaSim/DynaSim.git
    2. Add to path using startup.m or Command Window:
      • addpath(genpath('YOUR/PATH/TO/DynaSim'))

Documentation:

Citation

If you use DynaSim for your published research, please cite this introductory article:

Sherfey JS, Soplata AE, Ardid S, Roberts EA, Stanley DA, Pittman-Polletta BR and Kopell NJ (2018) DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation. Front. Neuroinform. 12:10. doi: 10.3389/fninf.2018.00010

Other References:

Mailing lists:

인용 양식

Jason Sherfey (2022). DynaSim/DynaSim (https://github.com/DynaSim/DynaSim/releases/tag/v1.1), GitHub. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2014a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

demos

demos/devDemos

demos/examples

demos/examples/Meanfield_NMDA_WMDM

demos/examples/Multicompartment_PFC_neurons

demos/examples/NetworkResonance_tutorial

demos/examples/UnbiasedCompetitionPNAS2019_tutorial

functions

functions/dependencies

functions/dependencies/Coverage/Coverage

functions/dependencies/Coverage/Coverage/lib/absolutepath

functions/dependencies/Coverage/Coverage/src/+edu/+stanford/+covert/+test

functions/dependencies/DataHash_20160618

functions/dependencies/MDD

functions/dependencies/MDD/classes

functions/dependencies/MDD/classes/@MDD

functions/dependencies/MDD/dependencies

functions/dependencies/MDD/dependencies/catstruct

functions/dependencies/MDD/dependencies/kakearney-boundedline-pkg-32f2a1f/boundedline

functions/dependencies/MDD/dependencies/kakearney-boundedline-pkg-32f2a1f/catuneven

functions/dependencies/MDD/dependencies/kakearney-boundedline-pkg-32f2a1f/singlepatch

functions/dependencies/MDD/dependencies/subplot_grid

functions/dependencies/MDD/functions

functions/dependencies/MDD/junk

functions/dependencies/MDD/library_plots

functions/dependencies/MDD/templates

functions/dependencies/MapN

functions/dependencies/Octave

functions/dependencies/altmany-export_fig-2763b78

functions/dependencies/compareFigFiles

functions/dependencies/distinguishable_colors

functions/dependencies/ear

functions/dependencies/github-sync-matlab

functions/dependencies/github-sync-matlab/private

functions/dependencies/isfunction

functions/dependencies/m2html

functions/dependencies/m2html/@template

functions/dependencies/m2html/@template/private

functions/dependencies/m2html/private

functions/dependencies/mathworks_exchange/uigetvar_putvar

functions/dependencies/mtit

functions/dependencies/subplot_grid

functions/dependencies/tight_subplot

functions/internal

functions/internal/xp_libraries

models

demos/examples

demos/examples/Meanfield_NMDA_WMDM

demos/examples/NetworkResonance_tutorial

demos/examples/UnbiasedCompetitionPNAS2019_tutorial

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.