140 citations · 157 across the 12 of their papers we have counts for
12 papers
Visual Episodic Memory-based Exploration
Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas +1
In humans, intrinsic motivation is an important mechanism for open-ended cognitive development; in robots, it has been shown to be valuable for exploration. An important aspect of…
Triadic Temporal Exponential Random Graph Models (TTERGM)
Yifan Huang, Clayton Barham, Eric Page +1
Temporal exponential random graph models (TERGM) are powerful statistical models that can be used to infer the temporal pattern of edge formation and elimination in complex network…
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain
Jack Vice, Gita Sukthankar, Pamela K. Douglas
Optimizing gait stability for legged robots is a difficult problem. Even on level surfaces, effectively traversing across different textures (e.g., carpet) rests on dynamically tun…
Reconsidering Spatial Priors In EEG Source Estimation: Does White Matter Contribute to EEG Rhythms?
PK Douglas, DB Douglas
Electroencephalogram (EEG) has been a core tool used in functional neuroimaging in humans for nearly a hundred years. Because it is inexpensive, easy to implement, and noninvasive,…
Diurnal variations of resting-state fMRI data: A graph-based analysis
Farzad V. Farahani, Waldemar Karwowski, Mark D Esposito +5
Circadian rhythms synchronize a variety of physiological processes ranging from neural activity and hormone secretion to sleep cycles and feeding habits. Despite significant diurna…
Structural Brain Asymmetries in Youths with Combined and Inattentive Presentations of Attention Deficit Hyperactivity Disorder
Cintya Nirvana Dutta, Pamela K. Douglas, Hernando Ombao
Alterations in structural brain laterality are reported in attention-deficit/hyperactivity disorder (ADHD). However, few studies examined differences within presentations of ADHD.…
Convalescent Blood Treatment for COVID-19: Are Local Donors Enough?
Pamela K. Douglas, Farzad V. Farahani, David B. Douglas +1
COVID-19 is now a global pandemic, and an effective vaccine may be many months away. Over 100 years ago, Spanish flu fatalities were attenuated when doctors began treating patients…
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples
Pk Douglas, Farzad Vasheghani Farahani
The increasing use of deep neural networks (DNNs) has motivated a parallel endeavor: the design of adversaries that profit from successful misclassifications. However, not all adve…
Interpreting Encoding and Decoding Models
Nikolaus Kriegeskorte, Pamela K. Douglas
Encoding and decoding models are widely used in systems, cognitive, and computational neuroscience to make sense of brain-activity data. However, the interpretation of their result…
Cognitive computational neuroscience
Nikolaus Kriegeskorte, Pamela K. Douglas
To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments.…
Approximate Bayesian inference as a gauge theory
Biswa Sengupta, Karl Friston
In a published paper [Sengupta, 2016], we have proposed that the brain (and other self-organized biological and artificial systems) can be characterized via the mathematical appara…
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 +2
Brain networks in fMRI are typically identified using spatial independent component analysis (ICA), yet mathematical constraints such as sparse coding and positivity both provide a…