Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis. - Aapo Hyvärinen; Pavan Ramkumar; Lauri Parkkonen; Riitta Hari (NeuroImage, 2010)

How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study. - Pavan Ramkumar; Sebastian Pannasch; Bruce C. Hansen; Adam M. Larson; Lester C. Loschky (MLINI, 2011)

Advances in modeling and characterization of human neuromagnetic oscillations. - Pavan Ramkumar (2012)

Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data. - Pavan Ramkumar; Lauri Parkkonen; Aapo Hyvärinen (NeuroImage, 2014)

Visual information representation and rapid-scene categorization are simultaneous across cortex: An MEG study. - Pavan Ramkumar; Bruce C. Hansen; Sebastian Pannasch; Lester C. Loschky (NeuroImage, 2016)

Modern Machine Learning as a Benchmark for Fitting Neural Responses. - Ari S. Benjamin; Hugo L. Fernandes; Tucker Tomlinson; Pavan Ramkumar; Chris VerSteeg; Raeed H. Chowdhury; Lee E. Miller; Konrad P. Körding (Frontiers Comput. Neurosci., 2018)

Pyglmnet: Python implementation of elastic-net regularized generalized linear models. - Mainak Jas; Titipat Achakulvisut; Aid Idrizovic; Daniel E. Acuna; Matthew Antalek; Vinícius Marques; Tommy Odland; Ravi Garg; Mayank Agrawal; Yu Umegaki; Peter Foley; Hugo Fernandes; et al. (J. Open Source Softw., 2020)

Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar. - Pavan Ramkumar; Saul Kato; G. Sean Escola (Patterns, 2022)

Hierarchical confounder discovery in the experiment-machine learning cycle. - Alex Rogozhnikov; Pavan Ramkumar; Rishi Bedi; Saul Kato; G. Sean Escola (Patterns, 2022)