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Hi there ๐Ÿ‘‹

I'm Kai Chen ๐Ÿ‡จ๐Ÿ‡ณ !

๐Ÿง  I love studying brain.

๐Ÿ–ฅ I love studying artificial computing systems.

๐Ÿง‘๐Ÿปโ€๐Ÿ’ป I love coding and fancy geek tools.

๐Ÿ˜† I hope to interact with the world through interesting projects.

Kai Chen's Projects

arni icon arni

Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics

brainpy icon brainpy

Brain Dynamics Programming in Python

causal4reconstruction icon causal4reconstruction

Code for the PNAS paper: Causal connectivity measures for pulse-output network reconstruction: Analysis and applications

ccn2021_tut icon ccn2021_tut

Tutorial for The Computational and Cognitive Neuroscience (CCN) Summer School 2021

dotfiles icon dotfiles

Online backups for my personal configuration files.

force icon force

FORCE learning algorithm and numerical implementations.

gc_clean icon gc_clean

Scripts and functions to calculate and investigate Granger causality in neuroscience

ifnet icon ifnet

Codes and programs from my bachleor's degree thesis project.

joypy icon joypy

Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

jpca icon jpca

jPCA for Neural Data Analysis in Python

minfo icon minfo

Mutual information estimator with adaptive partitioning algorithm (C++/OpenMP accelerated).

monkey_ecog icon monkey_ecog

Reconstruction of the large scale connectome based on macaque ECoG data.

neat icon neat

NEAT (NEural Analysis Toolkit)

neurogym icon neurogym

A curated collection of neuroscience tasks with a common interface.

occupancy_max_paper icon occupancy_max_paper

Code and supplementary information for "Seeking entropy: complex behaviors from intrinsic motivation to occupy action-state path space". Link to paper:

pnet icon pnet

Point-Neuronal-Network simulation framework for academic use.

professional-workshop-3 icon professional-workshop-3

ไธŠๆตทไบค้€šๅคงๅญฆ ่‡ด่ฟœๆ•ฐๅญฆๆ–นๅ‘ ไธ“ไธš็ ”่ฎจ่ฏพ3 [่ฎก็ฎ—็ฅž็ป็ง‘ๅญฆไธ“้ข˜]

project-sde icon project-sde

Numerical Solution of Geometric Brownian Motion -- Numerical Analysis

rnn_compression_expansion icon rnn_compression_expansion

Code to generate the figures for the manuscript "Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion" published in Nature Machine Intelligence.

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