Xiaodong (disadone)

disadone

Geek Repo

Company:Institute of Neuroscience, Chinese Academy of Science

Location:Shanghai,China

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Xiaodong's repositories

neuronaldynamics-epfl

Some neuronal dynamics of EPFL discussion

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exam2

Materials for second semester exams

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LDA-Gibbs-Sampling

a python implementation of latent dirichlet allocation(lda) using gibbs sampling algorithm

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pyperplot

Figures management while writing papers

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NailMonkey

Project Atlas on Original Monkey Structural MRI Images

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alphalens

Performance analysis of predictive (alpha) stock factors

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bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

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bhv2py

Read bhv files from behavioural software MonkeyLogic in Python

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courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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UncertaintyHuman

Value-based uncertainty estimation model

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dartbrains

This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.

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datastructure_yanweimin

严蔚敏数据结构c语言版本可运行源码、完全c语言代码实现

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GLMspiketraintutorial

Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data

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Integration

Python implementation of five basic numerical integration methods

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MultiAlternativeDecisions

Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.

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Optimal-policy-for-value-based-decision-making

These are the codes related to the following publication: Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision-making. Nature Communications, 7:12400, (2016).

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ProxyPool

Proxy Pool

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PyDDM

A drift-diffusion modeling (DDM) framework for Python3

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quantile-regression-tensorflow

Tensorflow implementation of deep quantile regression

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scrapy-stats

Scrapy项目,抓取国家统计局区划代码,并用D3.js可视化

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SimuFit

A package intended to fit models using simulation methods

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Some-Discussions

Discussions start from 2019-4-8

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teaching

Course Material

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Waskom_JVision_2018

Code and data from Waskom, Asfour, and Kiani (2018) J Vision

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