Pamela K. Douglas

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 12

Top Topics

Visual Exploration

Legged Locomotion

Matrix Factorization

Top Venues

Publications

Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas, Gita Sukthankar
Visual Episodic Memory-based Exploration. CoRR (2024)
Pamela K. Douglas, Garrett Blair
Towards a white matter ephaptic coupling model of 1/f spectra. BCI (2024)
Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas, Gita Sukthankar
Visual Episodic Memory-based Exploration. FLAIRS (2023)
Leonardo Christov-Moore, Nicco Reggente, Anthony Vaccaro, Felix Schoeller, Brock Pluimer, Pamela K. Douglas, Marco Iacoboni, Kingson Man, Antonio Damasio, Jonas T. Kaplan
Preventing antisocial robots: A pathway to artificial empathy. Sci. Robotics 8 (80) (2023)
Farzad V. Farahani, Waldemar Karwowski, Mark D'Esposito, Richard F. Betzel, Pamela K. Douglas, Anna Maria Sobczak, Bartosz Bohaterewicz, Tadeusz Marek, Magdalena Fafrowicz
Diurnal variations of resting-state fMRI data: A graph-based analysis. NeuroImage 256 (2022)
Yifan Huang, Clayton Barham, Eric Page, Pamela K. Douglas
Triadic Temporal Exponential Random Graph Models (TTERGM). CoRR (2022)
Jack Vice, Gita Sukthankar, Pamela K. Douglas
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain. FLAIRS (2022)
Jack Vice, Gita Sukthankar, Pamela K. Douglas
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain. CoRR (2022)
Pamela K. Douglas, Farzad Vasheghani Farahani
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples. CoRR (2020)
Pamela K. Douglas, David B. Douglas
Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms? BCI (2019)
Gerald K. Cooray, Biswa Sengupta, Pamela K. Douglas, Karl J. Friston
Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating. NeuroImage 125 (2016)
Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson
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. CoRR (2016)
Gerald K. Cooray, Biswa Sengupta, Pamela K. Douglas, Marita Englund, Ronny Wickstrom, Karl J. Friston
Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling. NeuroImage 118 (2015)
Wesley T. Kerr, Pamela K. Douglas, Ariana E. Anderson, Mark S. Cohen
The utility of data-driven feature selection: Re: Chu et al. 2012. NeuroImage 84 (2014)
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
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage 102 (2014)
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
Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy. PRNI (2013)
Ariana E. Anderson, Dianna Han, Pamela K. Douglas, Jennifer Bramen, Mark S. Cohen
Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box. MLINI (2011)
Pamela K. Douglas, Sam Harris, Alan L. Yuille, Mark S. Cohen
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. NeuroImage 56 (2) (2011)
Ariana E. Anderson, Jennifer Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Y. Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, Mark S. Cohen
Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. Int. J. Imaging Syst. Technol. 21 (2) (2011)