An Effect of Relative Motion on Trajectory Discrimination

Psychophysical studies point to the existence of specialized mechanisms sensitive to the relative motion between an object and its background. Such mechanisms would seem ideal for the motion-based segmentation of objects; however, their properties and role in processing the visual scene remain unclear. Here we examine the contribution of relative motion mechanisms to the processing of object trajectory. In a series of four psychophysical experiments we examine systematically the effects of relative direction and speed differences on the perceived trajectory of an object against a moving background. We show that background motion systematically influences the discrimination of object direction. Subjects’ ability to discriminate direction was consistently better for objects moving opposite a translating background than for objects moving in the same direction as the background. This effect was limited to the case of a translating background and did not affect perceived trajectory for more complex background motions associated with self-motion. We interpret these differences as providing support for the role of relative motion mechanisms in the segmentation and representation of object motions that do not occlude the path of an observer’s self-motion

Different Motion Cues Are Used to Estimate Time-to-arrival for Frontoparallel and Loming Trajectories

Estimation of time-to-arrival for moving objects is critical to obstacle interception and avoidance, as well as to timing actions such as reaching and grasping moving objects. The source of motion information that conveys arrival time varies with the trajectory of the object raising the question of whether multiple context-dependent mechanisms are involved in this computation. To address this question we conducted a series of psychophysical studies to measure observers’ performance on time-to-arrival estimation when object trajectory was specified by angular motion (“gap closure” trajectories in the frontoparallel plane), looming (colliding trajectories, TTC) or both (passage courses, TTP). We measured performance of time-to-arrival judgments in the presence of irrelevant motion, in which a perpendicular motion vector was added to the object trajectory. Data were compared to models of expected performance based on the use of different components of optical information. Our results demonstrate that for gap closure, performance depended only on the angular motion, whereas for TTC and TTP, both angular and looming motion affected performance. This dissociation of inputs suggests that gap closures are mediated by a separate mechanism than that used for the detection of time-to-collision and time-to-passage. We show that existing models of TTC and TTP estimation make systematic errors in predicting subject performance, and suggest that a model which weights motion cues by their relative time-to-arrival provides a better account of performance

Global Flow Impacts Time-to-passage Judgments Based on Local Motion Cues

We assessed the effect of the coherence of optic flow on time-to-passage judgments in order to investigate the strategies that observers use when local expansion information is reduced or lacking. In the standard display, we presented a cloud of dots whose image expanded consistent with constant observer motion. The dots themselves, however, did not expand and were thus devoid of object expansion cues. Only the separations between the dots expanded. Subjects had to judge which of two colored target dots, presented at different simulated depths and lateral displacements would pass them first. Image velocities of the target dots were chosen so as to correlate with time-to-passage only some of the time. When optic flow was mainly incoherent, subjects’ responses were biased and relied on image velocities rather than on global flow analysis. However, the bias induced by misleading image velocity cues diminished as a function of the coherence of the optic flow. We discuss the results in the context of a global tau mechanism and settle a debate whether local expansion cues or optic flow analysis are the basis for time-to-passage estimation

Integration Mechanisms for Heading Perception

Previous studies of heading perception suggest that human observers employ spatiotemporal pooling to accommodate noise in optic flow stimuli. Here, we investigated how spatial and temporal integration mechanisms are used for judgments of heading through a psychophysical experiment involving three different types of noise. Furthermore, we developed two ideal observer models to study the components of the spatial information used by observers when performing the heading task. In the psychophysical experiment, we applied three types of direction noise to optic flow stimuli to differentiate the involvement of spatial and temporal integration mechanisms. The results indicate that temporal integration mechanisms play a role in heading perception, though their contribution is weaker than that of the spatial integration mechanisms. To elucidate how observers process spatial information to extract heading from a noisy optic flow field, we compared psychophysical performance in response to random-walk direction noise with that of two ideal observer models (IOMs). One model relied on 2D screen-projected flow information (2D-IOM), while the other used environmental, i.e., 3D, flow information (3D-IOM). The results suggest that human observers compensate for the loss of information during the 2D retinal projection of the visual scene for modest amounts of noise. This suggests the likelihood of a 3D reconstruction during heading perception, which breaks down under extreme levels of noise

The EU's post-Brexit policy on euro clearing explained

The UK's withdrawal from the EU has reignited concern about the long-standing 'tug of war' over the clearing of euro-denominated instruments - first and foremost, derivatives. Scott James (KCL) and Lucia Quaglia (University of Bologna) explain the EU's post-Brexit policy on euro clearing

Epistemic Contestation and Interagency Conflict:The Challenge of Regulating Investment Funds

Scholarship on regulating global finance emphasises the importance of national and bureaucratic interests, but less attention has been devoted to epistemic sources of regulatory conflict. We address this by analysing the failure of regulators to agree tougher rules for large investment funds after the 2008 crisis. The article suggests this outcome was the result of epistemic contestation between prudential regulators and securities regulators, rooted in divergent interpretive ‘frames’. We show that US and EU prudential regulators pushed for entity-based regulation of investment funds by escalating the issue to global standard-setting bodies. But this was successfully resisted by securities regulators that exercised epistemic authority through recursive practices – appeals to expertise, jurisdictional claims, and alliance building – to defend their transaction-based approach. The article demonstrates how an interpretivist perspective can provide new insights into inter-agency conflict and regulatory disputes in other policy fields

Multi-level financial regulation and domestic political economy: accounting for the UK’s shifting regulatory outlook, from post-crisis reform to Brexit

Scott James and Lucia Quaglia discuss the UK’s role in shaping post-crisis financial regulatory reform, and assess the implications of its withdrawal from the EU. Drawing on their recent book, they use a domestic political economy approach to examine how the interaction of UK officials, financial regulators, and the financial industry shaped UK preferences, strategy, and influence in international and EU-level regulatory negotiations. They conclude by reflecting on the future of UK financial regulation after Brexit