Predicting individual face-selective topography using naturalistic stimuli

Neural coding of naturalistic motion stimuli.

We study a wide-field motion-sensitive neuron in the visual system of the blowfly Calliphora vicina. By rotating the fly on a stepper motor outside in a wooded area, and along an angular motion trajectory representative of natural flight, we stimulate the fly's visual system with input that approaches the natural situation. The neural response is analysed in the framework of information theory,...

Individual Driver Risk Analysis Using Naturalistic Driving Data

Visual search in continuous, naturalistic stimuli.

In standard visual search experiments, subjects look for a target item among distractor items. Targets and distractors are generally presented as isolated entities on a blank background. Do theories based on results of such experiments have any application to the real world of spatially continuous stimuli where "items" are not so conveniently delineated? Experiment 1 examines search for conjunc...

Individual differences in valence modulation of face-selective M170 response.

Magnetoencephalography was used to examine the effect of individual differences on the temporal dynamics of emotional face processing by grouping subjects based on their ability to detect masked valence-laden stimuli. Receiver operating characteristic curves and a nonparametric sensitivity measure were used to categorize subjects into those that could and could not reliably detect briefly prese...

Predicting Face Recognition Performance Using Image Quality

This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e. g. pose, illumination, etc ) and recognition performance measures using a probability density function. To address the issue of limited nature of practical training data inherent in most data driven models, ...