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 valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

Natural selection uses duplicated genes as raw material for functional innovation, co-opting their existing features to new functions. Understanding genetic innovation requires two questions to be ...

Abstract: The unscented Kalman filter (UKF) has demonstrated its effectiveness for state estimation in highly nonlinear systems over the past two decades. However, the UKF's assumption of a single ...

The Social Commission begins to develop monitoring mechanisms for the various United Nations rehabilitation programmes, specialized agencies, governmental and non-governmental organizations. A study ...

Nectins and nectin-like molecules (Necls) have recently emerged as cell adhesion molecules that have a variety of cellular functions, including cell movement, proliferation, differentiation, ...

Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. Suzanne is a ...

The magnitude of the change in participation probability when changing the respective attribute levels for the baseline clinical trial is presented in figure 4 for each country. Changing one trial ...