Jingqing Nian (Nian-Jingqing)

Nian-Jingqing

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Company:Guizhou Normal University

Location:China

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Jingqing Nian's repositories

LME_MixedEffectsERPTutorial

Supplemental scripts and resources from Heise, Mon, and Bowman (2022)

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Alice

Eelbrain pipeline to analyze public Alice EEG dataset

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deepbet

Fast brain extraction using neural networks

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DynamicPredictions

Code accompanying pre-print titled "Predictive neural representations of naturalistic dynamic input", by Ingmar E.J. de Vries and Moritz F. Wurm.

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eda

Code for Trait-anxiety and context sensitivity: https://osf.io/qjyt9/

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EEG_resting_state_network_intelligence

Code for analyzing EEG data for a project investigating correlations of EEG resting state connectivity network properties and intelligence.

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EEGManyLabs_Eimer1996

Replication of Eimer (1996) Experiment 2. #EEGManyLabs

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FAR

Facial Affect Recognition

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hctsaTutorial_BonnEEG

hctsa tutorial using the five-class Bonn EEG dataset

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hearing-as-cei

This repository provides the scripts useful to generate the analyses and the figures of the article: Thoret, E., Ystad, S., Kronland-Martinet, R. (2023) Hearing as adaptive cascaded envelope interpolation. Communications Biology

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m2py-tutorials

Matlab live scripts translated to python with minimal dependencies

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MRI-NIRS_Pipeline

Pipeline for creation of MRI NIRS datasets

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mvgam

Dynamic Bayesian Generalised Additive Models for time series analysis and forecasting

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neural_timeseries_diffusion

neural_timeseries_diffusion

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Null-cue-gaze-bias-analysis

Analysis scripts for the data acquired from the null-cue gaze-bias experiment

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Perochon_et_al_Nature_Medicine_2023

Algorithms associated with the submission of the paper titled "Early detection of autism using digital behavioral phenotyping" published in Nature Medicine.

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PowerAnalysisIL

Shiny app and R package to perform a power analysis to select the number of participants in intensive longitudinal studies

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PsychOpen-CAMA-R-package

R Package used in PsychOpenCAMA

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pupilTutorial

A code tutorial to accompany https://link.springer.com/article/10.3758/s13428-023-02098-1

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Reliability_Explorer

reliability calculation in shiny app

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