COMPUTATIONAL CHARACTERISTICS OF THE STRIATAL DOPAMINE SYSTEM DESCRIBED BY REINFORCEMENT LEARNING WITH FAST GENERALIZATION

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

Generalization is the ability to apply past experience to similar but non-identical situations.It not only affects stimulus-outcome relationships, as observed in conditioning experiments, but may also be essential for adaptive DEODORANT STICK CITRUS VETIVER behaviors, which involve the interaction between individuals and their environment.Computati

read more

Progress and Challenges of Integrated Machine Learning and Traditional Numerical Algorithms: Taking Reservoir Numerical Simulation as an Example

Machine learning techniques have garnered significant attention in various engineering disciplines due to their potential and benefits.Specifically, in reservoir numerical simulations, the core process revolves around solving the partial differential equations delineating oil, gas, and water flow dynamics in porous media.Discretizing these partial

read more


Understanding how midwife-led continuity of care can be implemented and under what circumstances: a realist review

Objectives To understand how and under what circumstances midwife-led continuity of care (MLCC) Kids Table Set can be implemented in high-income countries.Design A realist review was conducted to examine interactions between contexts, mechanisms and outcomes.Methods An initial programme theory described a hypothesis of how MLCC might be implemented

read more