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Pamela K. Douglas
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2020 – today
- 2024
- [c6]Pamela K. Douglas, Garrett J. Blair:
Towards a white matter ephaptic coupling model of 1/f spectra. BCI 2024: 1-3 - [i5]Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas, Gita Sukthankar:
Visual Episodic Memory-based Exploration. CoRR abs/2405.11298 (2024) - 2023
- [j8]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) - [c5]Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas, Gita Sukthankar
:
Visual Episodic Memory-based Exploration. FLAIRS 2023 - 2022
- [j7]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: 119246 (2022) - [c4]Jack Vice, Gita Sukthankar, Pamela K. Douglas:
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain. FLAIRS 2022 - [i4]Jack Vice, Gita Sukthankar, Pamela K. Douglas:
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain. CoRR abs/2203.15948 (2022) - [i3]Yifan Huang, Clayton Barham, Eric Page, Pamela K. Douglas:
Triadic Temporal Exponential Random Graph Models (TTERGM). CoRR abs/2211.16229 (2022) - 2020
- [i2]Pamela K. Douglas, Farzad Vasheghani Farahani:
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples. CoRR abs/2002.06816 (2020)
2010 – 2019
- 2019
- [c3]Pamela K. Douglas, David B. Douglas:
Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms? BCI 2019: 1-12 - [p1]Pamela K. Douglas, Ariana E. Anderson:
Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI. Explainable AI 2019: 363-378 - 2016
- [j6]Gerald K. Cooray
, Biswa Sengupta, Pamela K. Douglas, Karl J. Friston
:
Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating. NeuroImage 125: 1142-1154 (2016) - [i1]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 abs/1607.00435 (2016) - 2015
- [j5]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: 508-519 (2015) - 2014
- [j4]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: 1107-1110 (2014) - [j3]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: 207-219 (2014) - 2013
- [c2]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: 86-89 - 2011
- [j2]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
:
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): 223-231 (2011) - [j1]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): 544-553 (2011) - [c1]Ariana E. Anderson, Dianna Han, Pamela K. Douglas, Jennifer E. 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: 242-255
Coauthor Index
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last updated on 2024-09-05 02:08 CEST by the dblp team
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