Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box. - Ariana E. Anderson; Dianna Han; Pamela K. Douglas; Jennifer E. Bramen; Mark S. Cohen (MLINI, 2011)

Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. - Ariana E. Anderson; Jennifer E. Bramen; Pamela K. Douglas; Agatha Lenartowicz; Andrew Y. Cho; Chris Culbertson; Arthur L. Brody; Alan L. Yuille; Mark S. Cohen (Int. J. Imaging Syst. Technol., 2011)

Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. - Pamela K. Douglas; Sam Harris; Alan L. Yuille; Mark S. Cohen (NeuroImage, 2011)

Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy. - Wesley T. Kerr; Andrew Y. Cho; Ariana E. Anderson; Pamela K. Douglas; Edward P. Lau; Eric S. Hwang; Kaavya R. Raman; Aaron Trefler; Mark S. Cohen; Stefan T. Nguyen; Navya M. Reddy; Daniel H. S. Silverman (PRNI, 2013)

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. - Ariana E. Anderson; Pamela K. Douglas; Wesley T. Kerr; Virginia S. Haynes; Alan L. Yuille; Jianwen Xie; Ying Nian Wu; Jesse A. Brown; Mark S. Cohen (NeuroImage, 2014)

The utility of data-driven feature selection: Re: Chu et al. 2012. - Wesley T. Kerr; Pamela K. Douglas; Ariana E. Anderson; Mark S. Cohen (NeuroImage, 2014)

Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling. - Gerald K. Cooray; Biswa Sengupta; Pamela K. Douglas; Marita Englund; Ronny Wickstrom; Karl J. Friston (NeuroImage, 2015)

Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms. - Jianwen Xie; Pamela K. Douglas; Ying Nian Wu; Arthur L. Brody; Ariana E. Anderson (CoRR, 2016)

Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating. - Gerald K. Cooray; Biswa Sengupta; Pamela K. Douglas; Karl J. Friston (NeuroImage, 2016)

Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms? - Pamela K. Douglas; David B. Douglas (BCI, 2019)

Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI. - Pamela K. Douglas; Ariana E. Anderson (Explainable AI, 2019)

On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples. - Pamela K. Douglas; Farzad Vasheghani Farahani (CoRR, 2020)

Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain. - Jack Vice; Gita Sukthankar; Pamela K. Douglas (FLAIRS, 2022)

Triadic Temporal Exponential Random Graph Models (TTERGM). - Yifan Huang; Clayton Barham; Eric Page; Pamela K. Douglas (CoRR, 2022)

Diurnal variations of resting-state fMRI data: A graph-based analysis. - Farzad V. Farahani 001; Waldemar Karwowski; Mark D'Esposito; Richard F. Betzel; Pamela K. Douglas; Anna Maria Sobczak; Bartosz Bohaterewicz; Tadeusz Marek; Magdalena Fafrowicz (NeuroImage, 2022)

Visual Episodic Memory-based Exploration. - Jack Vice; Natalie Ruiz-Sanchez; Pamela K. Douglas; Gita Sukthankar (FLAIRS, 2023)

Preventing antisocial robots: A pathway to artificial empathy. - Leonardo Christov-Moore; Nicco Reggente; Anthony Vaccaro; Felix Schoeller; Brock Pluimer; Pamela K. Douglas; Marco Iacoboni; Kingson Man; Antonio Damasio; Jonas T. Kaplan (Sci. Robotics, 2023)

Towards a white matter ephaptic coupling model of 1/f spectra. - Pamela K. Douglas; Garrett J. Blair (BCI, 2024)

Towards a Neural ODE Generative Model of Cortical Dynamics. - Pamela K. Douglas (BCI, 2025)