Trinity-wang's starred repositories
beijingguahao
114北京挂号
computer-vision-in-action
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《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
latex_skeleton
This is a latex project skeleton for Most of the Computer Science scientific papers.
master-thesis
My master thesis
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
people-gait
毫米波步态数据集
ADHD-Modularity
Analysis Code for Hilger & Fiebach (2018): ADHD Symptoms are Associated with the Modular Structure of Intrinsic Brain Networks in a Representative Sample of Healthy Adults, doi: https://doi.org/10.1101/505891, https://www.biorxiv.org/content/10.1101/505891v1.
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
AMATH_342-Neural_coding
Introduces computational neuroscience, grounded in neuronal and synaptic biophysics. Works through mathematical description of how neurons encode information, and how neural activity is produced dynamically. Uses and teaches Matlab as a programming language to implement models of neuronal dynamics and to perform coding analysis.
Step-vs-Ramp
Characterize neuronal firing rate dynamic (in LIP) with Bayesian model selection
data-analysis
neuroscience
ComputationalNeurodynamics
Code and exercises for the Computational Neurodynamics course at Imperial College London
computational_neurodynamics
Coursework
PlotNeuralNet
Latex code for making neural networks diagrams
python-projects
unsorted python projects
brian2-bpstdp
implement bpstdp using brian2
Unsupervised-Digit-Recognition-using-Spike-Timing-Dependent-Plasticity
This project aims doing unsupervised learning of digit recognition task using Spiking neural network and Spike timing Dependent Plasticity so as to bring the representation of neural network more towards how actually the brain works. This project is still under progress.