Multimodal interactions in insect navigation

Animals travelling through the world receive input from multiple sensory modalities that could be important for the guidance of their journeys. Given the availability of a rich array of cues, from idiothetic information to input from sky compasses and visual information through to olfactory and other cues (e.g. gustatory, magnetic, anemotactic or thermal) it is no surprise to see multimodality in most aspects of navigation. In this review, we present the current knowledge of multimodal cue use during orientation and navigation in insects. Multimodal cue use is adapted to a species’ sensory ecology and shapes navigation behaviour both during the learning of environmental cues and when performing complex foraging journeys. The simultaneous use of multiple cues is beneficial because it provides redundant navigational information, and in general, multimodality increases robustness, accuracy and overall foraging success. We use examples from sensorimotor behaviours in mosquitoes and flies as well as from large scale navigation in ants, bees and insects that migrate seasonally over large distances, asking at each stage how multiple cues are combined behaviourally and what insects gain from using different modalities

A Hybrid Strategy for Illuminant Estimation Targeting Hard Images

Illumination estimation is a well-studied topic in computer vision. Early work reported performance on benchmark datasets using simple statistical aggregates such as mean or median error. Recently, it has become accepted to report a wider range of statistics, e.g. top 25%, mean, and bottom 25% performance. While these additional statistics are more informative, their relationship across different methods is unclear. In this paper, we analyse the results of a number of methods to see if there exist ‘hard’ images that are challenging for multiple methods. Our findings indicate that there are certain images that are difficult for fast statistical-based methods, but that can be handled with more complex learning-based approaches at a significant cost in time-complexity. This has led us to design a hybrid method that first classifies an image as ‘hard’ or ‘easy’ and then uses the slower method when needed, thus providing a balance between time-complexity and performance. In addition, we have identified dataset images that almost no method is able to process. We argue, however, that these images have problems with how the ground truth is established and recommend their removal from future performance evaluation

Can the Berkeleyan Idealist Resist Spinozist Panpsychism?

We argue that prevailing definitions of Berkeley’s idealism fail to rule out a nearby Spinozist rival view that we call ‘mind-body identity panpsychism.’ Since Berkeley certainly does not agree with Spinoza on this issue, we call for more care in defining Berkeley’s view. After we propose our own definition of Berkeley’s idealism, we survey two Berkeleyan strategies to block the mind-body identity panpsychist and establish his idealism. We argue that Berkeley should follow Leibniz and further develop his account of the mind’s unity. Unity—not activity—is the best way for Berkeley to establish his view at the expense of his panpsychist competitors

Exact coherent states with hairpin-like vortex structure in channel flow

Hairpin vortices are widely studied as an important structural aspect of wall turbulence. The present work describes, for the first time, nonlinear traveling wave solutions to the Navier--Stokes equations in the channel flow geometry -- exact coherent states (ECS) -- that display hairpin-like vortex structure. This solution family comes into existence at a saddle-node bifurcation at Reynolds number Re=666. At the bifurcation, the solution has a highly symmetric quasistreamwise vortex structure similar to that reported for previously studied ECS. With increasing distance from the bifurcation, however, both the upper and lower branch solutions develop a vortical structure characteristic of hairpins: a spanwise-oriented "head" near the channel centerplane where the mean shear vanishes connected to counter-rotating quasistreamwise "legs" that extend toward the channel wall. At Re=1800, the upper branch solution has mean and Reynolds shear-stress profiles that closely resemble those of turbulent mean profiles in the same domain.Comment: 14 pages, 11 figures; Accepted in Journal of Fluid Mechanic