Our aim was to characterise the chromatic mechanisms that yield the four unique hues: red, green, yellow and blue. We measured the null planes for all four unique hues and report the following two main results. (1) We confirm that three chromatic mechanisms are required to account for the four unique hues. These three chromatic mechanisms do not coincide with the chromatic tuning found in parvocellular LGN neurones, i.e., neurones tuned to L-M and S-(L+M); these subcortical chromatic mechanisms are hence not the neural substrate of the perceptual unique hues and further higher-order colour mechanisms need to be postulated. Our results are consistent with the idea that the two higher-order colour mechanisms that yield unique red and unique green respectively combine the incremental and decremental responses of the subcortical chromatic mechanisms with different weights. In contrast, unique yellow and unique blue can be explained by postulating a single higher-order chromatic mechanism that combines the incremental and decremental subcortical chromatic responses with similar weights. (2) The variability between observers is small when expressed in terms of perceptual errors, which is consistent with the hypothesis that the colour vision system in adult humans is able to recalibrate itself based on prior visual experience.

Real-world moving objects are usually defined by correlated information in multiple sensory modalities such as vision and hearing. The aim of our study was to assess whether simultaneous auditory supra-threshold motion introduces a bias or affects the sensitivity in a visual motion detection task. We demonstrate a bias in the perceived direction of visual motion that is consistent with the direction of the auditory motion (audio-visual motion capture). This bias effect is robust and occurs even if the auditory and visual motion signals come from different locations or move at different speeds. We also show that visual motion detection thresholds are higher for consistent auditory motion than for inconsistent motion, provided the stimuli move at the same speed and are co-localised.

It is well known that the detection thresholds for stationary auditory and visual signals are lower if the signals are presented bimodally rather than unimodally, provided the signals coincide in time and space. Recent work on auditory-visual motion detection suggests that the facilitation seen for stationary signals is not seen for motion signals. We investigate the conditions under which motion perception also benefits from the integration of auditory and visual signals. We show that the integration of cross-modal local motion signals that are matched in position and speed is consistent with thresholds predicted by a neural summation model. If the signals are presented in different hemi-fields, move in different directions, or both, then behavioural thresholds are predicted by a probability-summation model. We conclude that cross-modal signals have to be co-localised and co-incident for effective motion integration. We also argue that facilitation is only seen if the signals contain all localisation cues that would be produced by physical objects.

Background: Accurate skin colour measurements are important for numerous medical applications including the diagnosis and treatment of cutaneous disorders and the provision of maxillofacial soft tissue prostheses. Methods: In this study, we obtained accurate skin colour measurements from four different ethnic groups (Caucasian, Chinese, Kurdish, Thai) and at four different body locations (Forehead, cheek, inner arm, back of hand) with a view of establishing a new skin colour database for medical and cosmetic applications. Skin colours are measured using a spectrophotometer and converted to a device-independent standard colour appearance space (CIELAB) where skin colour is expressed as values along the three dimensions: Lightness L*, Redness a* and Yellowness b*. Skin colour differences and variation are then evaluated as a function of ethnicity and body location. Results: We report three main results: (1) When plotted in a standard colour appearance space (CIELAB), skin colour distributions for the four ethnic groups overlap significantly, although there are systematic mean differences. Between ethnicities, the most significant skin colour differences occur along the yellowness dimension, with Thai skin exhibiting the highest yellowness (b*) value and Caucasian skin the lowest value. Facial redness (a*) is invariant across the four ethnic groups.