AI Medical Compendium Journal:
Journal of the Royal Society, Interface

Showing 51 to 60 of 82 articles

Behavioural analysis of single-cell aneural ciliate, using machine learning approaches.

Journal of the Royal Society, Interface
There is still a significant gap between our understanding of neural circuits and the behaviours they compute-i.e. the computations performed by these neural networks (Carandini 2012 , 507-509. (doi:10.1038/nn.3043)). Cellular decision-making process...

Behavioural and life-history responses of mosquitofish to biologically inspired and interactive robotic predators.

Journal of the Royal Society, Interface
Invasive alien species threaten biodiversity worldwide and contribute to biotic homogenization, especially in freshwaters, where the ability of native animals to disperse is limited. Robotics may offer a promising tool to address this compelling prob...

A controller for walking derived from how humans recover from perturbations.

Journal of the Royal Society, Interface
Humans can walk without falling despite some external perturbations, but the control mechanisms by which this stability is achieved have not been fully characterized. While numerous walking simulations and robots have been constructed, no full-state ...

Fingerpad contact evolution under electrovibration.

Journal of the Royal Society, Interface
Displaying tactile feedback through a touchscreen via electrovibration has many potential applications in mobile devices, consumer electronics, home appliances and automotive industry though our knowledge and understanding of the underlying contact m...

Constructing living buildings: a review of relevant technologies for a novel application of biohybrid robotics.

Journal of the Royal Society, Interface
Biohybrid robotics takes an engineering approach to the expansion and exploitation of biological behaviours for application to automated tasks. Here, we identify the construction of living buildings and infrastructure as a high-potential application ...

Reconstruction of long-distance bird migration routes using advanced machine learning techniques on geolocator data.

Journal of the Royal Society, Interface
Geolocators are a well-established technology to reconstruct migration routes of animals that are too small to carry satellite tags (e.g. passerine birds). These devices record environmental light-level data that enable the reconstruction of daily po...

Optimizing colour for camouflage and visibility using deep learning: the effects of the environment and the observer's visual system.

Journal of the Royal Society, Interface
Avoiding detection can provide significant survival advantages for prey, predators, or the military; conversely, maximizing visibility would be useful for signalling. One simple determinant of detectability is an animal's colour relative to its envir...

EuMoBot: replicating euglenoid movement in a soft robot.

Journal of the Royal Society, Interface
Swimming is employed as a form of locomotion by many organisms in nature across a wide range of scales. Varied strategies of shape change are employed to achieve fluidic propulsion at different scales due to changes in hydrodynamics. In the case of m...

Inferring locomotor behaviours in Miocene New World monkeys using finite element analysis, geometric morphometrics and machine-learning classification techniques applied to talar morphology.

Journal of the Royal Society, Interface
The talus is one of the most commonly preserved post-cranial elements in the platyrrhine fossil record. Talar morphology can provide information about postural adaptations because it is the anatomical structure responsible for transmitting body mass ...

Transition by head-on collision: mechanically mediated manoeuvres in cockroaches and small robots.

Journal of the Royal Society, Interface
Exceptional performance is often considered to be elegant and free of 'errors' or missteps. During the most extreme escape behaviours, neural control can approach or exceed its operating limits in response time and bandwidth. Here we show that small,...