Extracting medicinal chemistry intuition via preference machine learning.

The lead optimization process in drug discovery campaigns is an arduous endeavour where the input of many medicinal chemists is weighed in order to reach a desired molecular property profile. Building the expertise to successfully drive such projects collaboratively is a very time-consuming process that typically spans many years within a chemist's career. In this work we aim to replicate this process by applying artificial intelligence learning-to-rank techniques on feedback that was obtained from 35 chemists at Novartis over the course of several months.

Unlocking crowding by ensemble statistics.

In crowding, objects that can be easily recognized in isolation appear jumbled when surrounded by other elements. Traditionally, crowding is explained by local pooling mechanisms, but many findings have shown that the global configuration of the entire stimulus display, rather than local aspects, determines crowding. However, understanding global configurations is challenging because even slight changes can lead from crowding to uncrowding and vice versa.

Intact and deficient contextual processing in schizophrenia patients.

Schizophrenia patients are known to have deficits in contextual vision. However, results are often very mixed. In some paradigms, patients do not take the context into account and, hence, perform more veridically than healthy controls.

Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing.

In visual crowding, the perception of a target deteriorates in the presence of nearby flankers. Traditionally, target-flanker interactions have been considered as local, mostly deleterious, low-level, and feature specific, occurring when information is pooled along the visual processing hierarchy. Recently, a vast literature of high-level effects in crowding (grouping effects and face-holistic crowding in particular) led to a different understanding of crowding, as a global, complex, and multilevel phenomenon that cannot be captured or explained by simple pooling models.

Dissecting (un)crowding.

In crowding, perception of a target deteriorates in the presence of nearby flankers. Surprisingly, perception can be rescued from crowding if additional flankers are added (uncrowding). Uncrowding is a major challenge for all classic models of crowding and vision in general, because the global configuration of the entire stimulus is crucial.

How do visual skills relate to action video game performance?

It has been claimed that video gamers possess increased perceptual and cognitive skills compared to non-video gamers. Here, we examined to which extent gaming performance in CS:GO (Counter-Strike: Global Offensive) correlates with visual performance. We tested 94 players ranging from beginners to experts with a battery of visual paradigms, such as visual acuity and contrast detection.

Reference-frames in vision: Contributions of attentional tracking to nonretinotopic perception in the Ternus-Pikler display.

Perception depends on reference frames. For example, the "true" cycloidal motion trajectory of a reflector on a bike's wheel is invisible because we perceive the reflector motion relative to the bike's motion trajectory, which serves as a reference frame. To understand such an object-based motion perception, we suggested a "two-stage" model in which first reference frames are computed based on perceptual grouping (bike) and then features are attributed (reflector motion) based on group membership.

Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task.

When making a choice with limited information, we explore new features through trial-and-error to learn how they are related. However, few studies have investigated exploratory behaviour when information is limited. In this study, we address, at both the behavioural and neural level, how, when, and why humans explore new feature dimensions to learn a new policy for choosing a state-space.

Neural substrates of motor and non-motor symptoms in Parkinson's disease: a resting FMRI study.

Background: Recently, non-motor symptoms of Parkinson's disease (PD) have been considered crucial factors in determining a patient's quality of life and have been proposed as the predominant features of the premotor phase. Researchers have investigated the relationship between non-motor symptoms and the motor laterality; however, this relationship remains disputed. This study investigated the neural connectivity correlates of non-motor and motor symptoms of PD with respect to motor laterality.