Julio A. Peraza (JulioAPeraza)

JulioAPeraza

Geek Repo

Location:United States

Home Page:https://julioaperaza.github.io/

Twitter:@JulyAPeraza

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Organizations
fiuneuro
NBCLab

Julio A. Peraza's repositories

BP_SP_on_HC

Belief Propagation (BP) and Susceptibility Propagation (SP) on the Human Connectome (998)

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gradec

Meta-analytic gradient decoding

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MH_on_HC

Metropolis (MH) algorithm on the Human Connectome (998)

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abcd-dicom2bids

For selectively downloading ABCD data QC'ed as good by the DAIC, converting it to BIDS standard input data, selecting the best pair of spin echo field maps, and correcting the sidecar JSON files to meet BIDS Validator spec.

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arithmetic-task

Python version of basic arithmetic task

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brainsmash

Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity

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ddmra

Code for running distance-dependent motion-related artifact analyses in Python

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eirt-task

The Emotion Induction and Regulation Test (EIRT) in E-Prime

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IDConn

Pipeline for studying individual differences in network topography in task-based or resting state fMRI data

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NBCLab.github.io

Website for the Neuroinformatics and Brain Connectivity Lab at FIU

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neuroCombat

Harmonization of multi-site imaging data with ComBat (Python)

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neurosynth

Neurosynth core tools

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nilearn

Machine learning for NeuroImaging in Python

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NiMARE

Coordinate- and image-based meta-analysis in Python

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nimare-book

User guide to introduce meta-analysis concepts using NiMARE

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nimare-resources

Scripts to generate downloadable resources for NiMARE

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nv-data

Data dump from NeuroVault

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PACE

Documents, scripts, figures, and files associated with the PACE project

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probabilistic-selection-task

Version of the PST for DIVA, implemented in E-Prime.

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PyMARE

PyMARE: Python Meta-Analysis & Regression Engine

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sample_dataset

Sample dataset for problem set 5

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scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

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sorpf-task

The Self and Other Referential Processing and Flanker (SORPF) dual task in E-Prime

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tedana-reliability-analysis

An analysis of the reliability of the tedana denoising pipeline on an example dataset

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xcpEngine

Official public repository for the XCP Engine

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