Yaroslav O. Halchenko
Cognitive Neuroscience · 2009–2023
A researcher in the Science corpus: 12 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 61 citations into it; #3,224 of 10,852 by trust here, #1,182 by citations
- Artificial Intelligence — 40 citations into it; #21,005 of 35,345 by trust here, #3,745 by citations
- Control and Systems Engineering — 5 citations into it
Whom Yaroslav O. Halchenko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- John-Dylan Haynes
- Nikolaus Kriegeskorte
- Robert E. Schapire
- K. Jarrod Millman
- James V. Haxby
- Kenneth A. Norman
- Isabelle M Guyon
- Geraint E. Rees
- Sören Sonnenburg
Who trusts Yaroslav O. Halchenko overall
- James V. Haxby
- Segundo Jose Guzman
- Alois Schlögl
- Gaël Varoquaux
- Krzysztof J. Gorgolewski
- Andrew C. Connolly
- Christoph Schmidt-Hieber
- Alexandre Abraham
- Christine L. Ferguson
Papers from Yaroslav O. Halchenko's perspective
Ordered by how strongly the researchers Yaroslav O. Halchenko trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
- Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex (Science)
- Decoding the visual and subjective contents of the human brain (Nature Neuroscience)
- An Introduction to Variable and Feature Selection
- Predicting Human Brain Activity Associated with the Meanings of Nouns (Science)
- The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception
- Identifying natural images from human brain activity (Nature)
- Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience
- Circular analysis in systems neuroscience – the dangers of double dipping (Nature Neuroscience)
Their papers
- SciPy 1.0: fundamental algorithms for scientific computing in Python (2019) — 33,467 citations
- The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments (2016) — 1,663 citations
- PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data (2009) — 486 citations
- A comparison of neuroelectrophysiology databases (2023)
- The OpenNeuro resource for sharing of neuroscience data (2021) — 347 citations
- Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python (2020) — 1,246 citations
- The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data (2020)
- To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery (2016)
- Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience (2012) — 115 citations
- Data sharing in neuroimaging research (2012) — 296 citations
- A common, high-dimensional model of the representational space in human ventral temporal cortex (2011) — 709 citations
- Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python (2011) — 2,091 citations