Mainak Jas
Cognitive Neuroscience · 2013–2019
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 33 citations into it
- Signal Processing — 11 citations into it
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
Whom Mainak Jas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- D. Leung
- Matti S. Hämäläinen
- Chih-Wei Hsu
- Alexandre Gramfort
- François Tadel
- A. M. Dale
- Risto J. Ilmoniemi
- Fabian Pedregosa
- Chih-Chung Chang
- Sylvain Baillet
Who trusts Mainak Jas overall
- Chi-Yuan Chang
- Sheng-Hsiou Hsu
- Tim C Kietzmann
- T. Adamovich
- Alicia J. Campbell
- Thomas Donoghue
- Luca Pion-Tonachini
- Tzyy-Ping Jung
Papers from Mainak Jas's perspective
Ordered by how strongly the researchers Mainak Jas trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- ImageNet classification with deep convolutional neural networks
- Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
- Scikit-learn: Machine Learning in Python
- Independent component analysis: algorithms and applications
- The Human Connectome Project: A data acquisition perspective (NeuroImage)
- Matplotlib: A 2D Graphics Environment
- Identifying true brain interaction from EEG data using the imaginary part of coherency. (Clinical Neurophysiology)
- Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python (Front. Neuroinform.)
Their papers
- iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology (2019)
- MEG-BIDS, the brain imaging data structure extended to magnetoencephalography (2018)
- Autoreject: Automated artifact rejection for MEG and EEG data (2016) — 526 citations
- MEG and EEG data analysis with MNE-Python (2013) — 3,690 citations