Kyle Dunovan
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View article: Author response: Dynamic decision policy reconfiguration under outcome uncertainty
Author response: Dynamic decision policy reconfiguration under outcome uncertainty Open
Article Figures and data Abstract Editor's evaluation Introduction Results Discussion Materials and methods Appendix 1 Appendix 2 Appendix 3 Data availability References Decision letter Author response Article and author information Metric…
View article: Effects of beta- and gamma-band rhythmic stimulation on motor inhibition
Effects of beta- and gamma-band rhythmic stimulation on motor inhibition Open
Voluntary movements are accompanied by an increase in gamma-band oscillatory activity (60-100Hz) and a strong desynchronization of beta-band activity (13-30Hz) in the motor system at both the cortical and subcortical level. Conversely, suc…
View article: Dynamic decision policy reconfiguration under outcome uncertainty
Dynamic decision policy reconfiguration under outcome uncertainty Open
In uncertain or unstable environments, sometimes the best decision is to change your mind. To shed light on this flexibility, we evaluated how the underlying decision policy adapts when the most rewarding action changes. Human participants…
View article: Combining Imagination and Heuristics to Learn Strategies that Generalize
Combining Imagination and Heuristics to Learn Strategies that Generalize Open
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 adapt. Humans rely on a combination of heuristics to simplify …
View article: Adiposity covaries with signatures of asymmetric feedback learning during adaptive decisions
Adiposity covaries with signatures of asymmetric feedback learning during adaptive decisions Open
Unhealthy weight gain relates, in part, to how people make decisions based on prior experience. Here we conducted post hoc analysis on an archival data set to evaluate whether individual differences in adiposity, an anthropometric construc…
View article: Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making
Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making Open
Cortico-basal-ganglia-thalamic (CBGT) networks are critical for adaptive decision-making, yet how changes to circuit-level properties impact cognitive algorithms remains unclear. Here we explore how dopaminergic plasticity at corticostriat…
View article: Corticostriatal synaptic weight evolution in a two-alternative forced choice task
Corticostriatal synaptic weight evolution in a two-alternative forced choice task Open
In natural environments, mammals can efficiently select actions based on noisy sensory signals and quickly adapt to unexpected outcomes to better exploit opportunities that arise in the future. Such feedback-based changes in behavior rely …
View article: Errors in Action Timing and Inhibition Facilitate Learning by Tuning Distinct Mechanisms in the Underlying Decision Process
Errors in Action Timing and Inhibition Facilitate Learning by Tuning Distinct Mechanisms in the Underlying Decision Process Open
Goal-directed behavior requires integrating action selection processes with learning systems that adapt control using environmental feedback. These functions are known to intersect at a common neural substrate with multiple known targets o…
View article: Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning Open
In the real world, agents often have to operate in situations with incomplete information, limited sensing capabilities, and inherently stochastic environments, making individual observations incomplete and unreliable. Moreover, in many si…
View article: Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making
Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making Open
Cortico-basal-ganglia-thalamic (CBGT) networks are critical for adaptive decision-making, yet how changes to circuit-level properties impact cognitive algorithms remains unclear. Here we explore how dopaminergic plasticity at corticostriat…
View article: Keep it stupid simple.
Keep it stupid simple. Open
Deep reinforcement learning can match and exceed human performance, but if even minor changes are introduced to the environment artificial networks often can't adapt. Humans meanwhile are quite adaptable. We hypothesize that this is partly…
View article: Learning model-based strategies in simple environments with hierarchical q-networks
Learning model-based strategies in simple environments with hierarchical q-networks Open
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 generalizable strategies remains a pressing challenge. This …
View article: Errors in action timing and inhibition facilitate learning by tuning distinct mechanisms in the underlying decision process
Errors in action timing and inhibition facilitate learning by tuning distinct mechanisms in the underlying decision process Open
Goal-directed behavior requires integrating action selection processes with learning systems that adapt control using environmental feedback. These functions intersect in the basal ganglia (BG), which has at least two targets of plasticity…
View article: Errors in action timing and inhibition facilitate learning by tuning distinct mechanisms in the underlying decision process
Errors in action timing and inhibition facilitate learning by tuning distinct mechanisms in the underlying decision process Open
Goal-directed behavior requires integrating action selection processes with learning systems that adapt control using environmental feedback. These functions intersect in the basal ganglia (BG), which has at least two targets of plasticity…
View article: A biologically motivated synthesis of accumulator and reinforcement-learning models for describing adaptive decision-making
A biologically motivated synthesis of accumulator and reinforcement-learning models for describing adaptive decision-making Open
Cognitive process models, such as reinforcement learning (RL) and accumulator models of decision-making, have proven to be highly insightful tools for studying adaptive behaviors as well as their underlying neural substrates. Currently, ho…
View article: Believer-Skeptic Meets Actor-Critic: Rethinking the Role of Basal Ganglia Pathways during Decision-Making and Reinforcement Learning
Believer-Skeptic Meets Actor-Critic: Rethinking the Role of Basal Ganglia Pathways during Decision-Making and Reinforcement Learning Open
The flexibility of behavioral control is a testament to the brain's capacity for dynamically resolving uncertainty during goal-directed actions. This ability to select actions and learn from immediate feedback is driven by the dynamics of …
View article: Believer-Skeptic meets Actor-Critic: Rethinking the role basal ganglia pathways in decision-making and reinforcement learning
Believer-Skeptic meets Actor-Critic: Rethinking the role basal ganglia pathways in decision-making and reinforcement learning Open
The flexibility of behavioral control is a testament to the brain’s capacity for dynamically resolving uncertainty during goal-directed actions. This ability to select actions and learn from immediate feedback is driven by the dynamics of …