activity
20162022
most citedDecoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms

2 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

cs.RO20221 cited

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…

q-bio.NC2021

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…

q-bio.NC20201 cited

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.…

q-bio.NC2018

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…

q-bio.NC2018

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.…

q-bio.NC20162 cited

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…