Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

This paper describes the eccentricity, amplitude, phase shift, angular momentum, polarization, radial path, and orbital ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.