Transferrable Learning of Multisensory Cues in Flight Simulation
نویسندگان
چکیده
منابع مشابه
Multisensory cues improve sensorimotor synchronisation.
Synchronising movements with events in the surrounding environment is an ubiquitous aspect of everyday behaviour. Often, information about a stream of events is available across sensory modalities. While it is clear that we synchronise more accurately to auditory cues than other modalities, little is known about how the brain combines multisensory signals to produce accurately timed actions. He...
متن کاملObjective Fidelity Evaluation in Multisensory Virtual Environments: Auditory Cue Fidelity in Flight Simulation
We argue that objective fidelity evaluation of virtual environments, such as flight simulation, should be human-performance-centred and task-specific rather than measure the match between simulation and physical reality. We show how principled experimental paradigms and behavioural models to quantify human performance in simulated environments that have emerged from research in multisensory per...
متن کاملLearning Transferrable Representations for Unsupervised Domain Adaptation
Supervised learning with large scale labelled datasets and deep layered models has caused a paradigm shift in diverse areas in learning and recognition. However, this approach still suffers from generalization issues under the presence of a domain shift between the training and the test data distribution. Since unsupervised domain adaptation algorithms directly address this domain shift problem...
متن کاملBenefits of multisensory learning.
Studies of learning, and in particular perceptual learning, have focused on learning of stimuli consisting of a single sensory modality. However, our experience in the world involves constant multisensory stimulation. For instance, visual and auditory information are integrated in performing many tasks that involve localizing and tracking moving objects. Therefore, it is likely that the human b...
متن کاملCharacterizing response behavior in multisensory perception with conflicting cues
We explore a recently proposed mixture model approach to understanding interactions between conflicting sensory cues. Alternative model formulations, differing in their sensory noise models and inference methods, are compared based on their fit to experimental data. Heavy-tailed sensory likelihoods yield a better description of the subjects’ response behavior than standard Gaussian noise models...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: i-Perception
سال: 2011
ISSN: 2041-6695,2041-6695
DOI: 10.1068/ic751