Yaroslav O. Halchenko

According to our database1, Yaroslav O. Halchenko authored at least 19 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Comparison of Neuroelectrophysiology Databases.
CoRR, 2023

2022
Open and reproducible neuroimaging: From study inception to publication.
NeuroImage, 2022

2021
DataLad: distributed system for joint management of code, data, and their relationship.
J. Open Source Softw., 2021

2020
A new virtue of phantom MRI data: explaining variance in human participant data.
F1000Research, 2020

2019
PyBIDS: Python tools for BIDS datasets.
J. Open Source Softw., 2019

multimatch-gaze: The MultiMatch algorithm for gaze path comparison in Python.
J. Open Source Softw., 2019

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging.
Frontiers Neuroinformatics, 2019

2016
Cross-modal searchlight classification: methodological challenges and recommended solutions.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015
The Animacy Continuum in the Human Ventral Vision Pathway.
J. Cogn. Neurosci., 2015

2013
Pattern classification precedes region-average hemodynamic response in early visual cortex.
NeuroImage, 2013

Transmodal Analysis of Neural Signals.
CoRR, 2013

2012
Data sharing in neuroimaging research.
Frontiers Neuroinformatics, 2012

Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience.
Frontiers Neuroinformatics, 2012

2011
Neuroscience Runs on GNU/Linux.
Frontiers Neuroinformatics, 2011

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python.
Frontiers Neuroinformatics, 2011

2010
Six problems for causal inference from fMRI.
NeuroImage, 2010

2009
PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data.
Neuroinformatics, 2009

PyMVPA: a unifying approach to the analysis of neuroscientific data.
Frontiers Neuroinformatics, 2009

2008
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area.
Neural Comput., 2008


  Loading...