158 citations · 176 across the 7 of their papers we have counts for
11 papers
A critical reappraisal of predicting suicidal ideation using fMRI
Timothy Verstynen, Konrad Kording
For many psychiatric disorders, neuroimaging offers a potential for revolutionizing diagnosis, and potentially treatment, by providing access to preverbal mental processes. In thei…
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning
Akshat Agarwal, Abhinau Kumar, Kyle Dunovan +3
In the real world, agents often have to operate in situations with incomplete information, limited sensing capabilities, and inherently stochastic environments, making individual o…
Combining imagination and heuristics to learn strategies that generalize
Erik J Peterson, Necati Alp Müyesser, Timothy Verstynen +1
Deep reinforcement learning can match or exceed human performance in stable contexts, but with minor changes to the environment artificial networks, unlike humans, often cannot ada…
Cognitive chimera states in human brain networks
Kanika Bansal, Javier O. Garcia, Steven H. Tompson +3
The human brain is a complex dynamical system that gives rise to cognition through spatiotemporal patterns of coherent and incoherent activity between brain regions. As different r…
Local White Matter Architecture Defines Functional Brain Dynamics
Yo Joong Choe, Sivaraman Balakrishnan, Aarti Singh +2
Large bundles of myelinated axons, called white matter, anatomically connect disparate brain regions together and compose the structural core of the human connectome. We recently p…
Learning model-based strategies in simple environments with hierarchical q-networks
Necati Alp Muyesser, Kyle Dunovan, Timothy Verstynen
Recent advances in deep learning have allowed artificial agents to rival human-level performance on a wide range of complex tasks; however, the ability of these networks to learn g…
Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Arian Ashourvan, Qawi K. Telesford, Timothy Verstynen +2
Community detection algorithms have been widely used to study the organization of complex systems like the brain. A principal appeal of these techniques is their ability to identif…
Increasing the Analytical Accessibility of Multishell and Diffusion Spectrum Imaging Data Using Generalized Q-Sampling Conversion
Fang-Cheng Yeh, Timothy D. Verstynen
Many diffusion MRI researchers, including the Human Connectome Project (HCP), acquire data using multishell (e.g., WU-Minn consortium) and diffusion spectrum imaging (DSI) schemes…
Mapping Topographic Structure in White Matter Pathways with Level Set Trees
Brian P. Kent, Alessandro Rinaldo, Fang-Cheng Yeh +1
Fiber tractography on diffusion imaging data offers rich potential for describing white matter pathways in the human brain, but characterizing the spatial organization in these lar…
FuSSO: Functional Shrinkage and Selection Operator
Junier B. Oliva, Barnabas Poczos, Timothy Verstynen +4
We present the FuSSO, a functional analogue to the LASSO, that efficiently finds a sparse set of functional input covariates to regress a real-valued response against. The FuSSO do…
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering
Brian P. Kent, Alessandro Rinaldo, Timothy Verstynen
The level set tree approach of Hartigan (1975) provides a probabilistically based and highly interpretable encoding of the clustering behavior of a dataset. By representing the hie…