Trinity-wang's repositories
ModelingNeuralDynamics
An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscience, Hodgkin-Huxley Equations, Differential Equations, Brain Rhythms, Synchronization, Dynamics
147117
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
249408
A computational model of action selection in the basal ganglia (Suryanarayana et al 2019)
BG_Sury
A MATLAB-based model of the basal ganglia developed by Suryanarayana et al 2019. Article at http://dx.doi.org/10.1016/j.neunet.2018.10.003
bmtk
Brain Modeling Toolkit
BrainPy-Models
Models and examples of BrainPy simulation framework.
CA1-microcircuit
analyses etc. as related to detailed microcircuit model
CCS
Connectome Computation System
computationandbrain.github.io
Website for COMS 6998-04 (Fall 2019), Computation and the Brain (Columbia University)
computer-vision-in-action
《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
course-content
Summer course content for Neuromatch Academy
data-analysis
neuroscience
Dynamic-Brain-Network-Modularity
Temporal Stability of Modular Brain Network Organization - and its Relationship with Individual Differences (e.g., in General Intelligence)
How-to-write-a-paper
A tutorial on structuring scientific writing
IPM-SS-2019
Code and Best Practices for IPM Summer School of Intelligent Learning 2019.
jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
nest-simulator
The NEST simulator
neural-mass-model
python implementation of neural-mass model
neurolib
Easy whole-brain modeling for computational neuroscientists 👩🔬💻🧠
open-computational-neuroscience-resources
A publicly-editable collection of open computational neuroscience resources
random-modular-network-generator
Generates random graphs with tunable strength of community structure
Read-a-Paper
Survey
RSNN-Brain-Modelling-Toolbox
Spatiotemporal Dynamics in Recurrent Spiking Neural Networks using Optimization-based Modelling for EEG signals
stimulus_neural_populations
A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting electrical stimulation responses of neural populations.
stochastic-sync
Code supporting 'Stochastic synchronization of dynamics on the human connectome'