Pamela K. Douglas

According to our database, Pamela K. Douglas authored at least 18 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards a white matter ephaptic coupling model of 1/f spectra.

Pamela K. Douglas, Garrett Blair

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

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, July, 2023

Visual Episodic Memory-based Exploration.

Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas, Gita Sukthankar

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2022

Diurnal variations of resting-state fMRI data: A graph-based analysis.

Farzad V. Farahani, Waldemar Karwowski, Mark D'Esposito, Richard F. Betzel, Pamela K. Douglas, Anna Maria Sobczak, Bartosz Bohaterewicz, Tadeusz Marek, Magdalena Fafrowicz

NeuroImage, 2022

Triadic Temporal Exponential Random Graph Models (TTERGM).

Yifan Huang, Clayton Barham, Eric Page, Pamela K. Douglas

CoRR, 2022

Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain.

Jack Vice, Gita Sukthankar, Pamela K. Douglas

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2020

On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples.

Pamela K. Douglas, Farzad Vasheghani Farahani

CoRR, 2020

2019

Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI.

Pamela K. Douglas, Ariana E. Anderson

Proceedings of the Explainable AI: Interpreting, 2019

Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms?

Pamela K. Douglas, David B. Douglas

Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

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

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

2015

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

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

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

2013

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

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

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

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

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

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011