Ten simple rules for the computational modeling of behavioral data
RC Wilson, AGE Collins - Elife, 2019 - elifesciences.org
Computational modeling of behavior has revolutionized psychology and neuroscience. By
fitting models to experimental data we can probe the algorithms underlying behavior, find …
fitting models to experimental data we can probe the algorithms underlying behavior, find …
Balancing exploration and exploitation with information and randomization
Explore-exploit decisions require us to trade off the benefits of exploring unknown options to
learn more about them, with exploiting known options, for immediate reward. Such decisions …
learn more about them, with exploiting known options, for immediate reward. Such decisions …
HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments
Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …
solutions to a variety of different problems. The massive shift of organization resource needs …
Computational mechanisms of curiosity and goal-directed exploration
Successful behaviour depends on the right balance between maximising reward and
soliciting information about the world. Here, we show how different types of information-gain …
soliciting information about the world. Here, we show how different types of information-gain …
COSCO: Container orchestration using co-simulation and gradient based optimization for fog computing environments
Intelligent task placement and management of tasks in large-scale fog platforms is
challenging due to the highly volatile nature of modern workload applications and sensitive …
challenging due to the highly volatile nature of modern workload applications and sensitive …
Neurobehavioral meaning of pupil size
Pupil size is a widely used metric of brain state. It is one of the few signals originating from
the brain that can be readily monitored with low-cost devices in basic science, clinical, and …
the brain that can be readily monitored with low-cost devices in basic science, clinical, and …
Value-free random exploration is linked to impulsivity
Deciding whether to forgo a good choice in favour of exploring a potentially more rewarding
alternative is one of the most challenging arbitrations both in human reasoning and in …
alternative is one of the most challenging arbitrations both in human reasoning and in …
Dynamic inverse reinforcement learning for characterizing animal behavior
Understanding decision-making is a core goal in both neuroscience and psychology, and
computational models have often been helpful in the pursuit of this goal. While many models …
computational models have often been helpful in the pursuit of this goal. While many models …
Blocking D2/D3 dopamine receptors in male participants increases volatility of beliefs when learning to trust others
The ability to learn about other people is crucial for human social functioning. Dopamine has
been proposed to regulate the precision of beliefs, but direct behavioural evidence of this is …
been proposed to regulate the precision of beliefs, but direct behavioural evidence of this is …
[HTML][HTML] Computation noise in human learning and decision-making: origin, impact, function
C Findling, V Wyart - Current Opinion in Behavioral Sciences, 2021 - Elsevier
Highlights•Computation noise drives human decision variability under uncertainty.•
Computation noise sets cognitive constraints on information processing.•Computation noise …
Computation noise sets cognitive constraints on information processing.•Computation noise …