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Training with one type of a visual stimulus usually improves performance. When observers train with two or more stimulus types presented in random order (so-called roving), performance improves for certain stimulus types but not for others. To understand w ...
Summary form only given. This paper discusses the problem of control and autonomy of synthetic actors. It first describes an animation approach where synthetic vision is used for navigation by a synthetic actor. The vision is the only channel of informatio ...
If we assume that architecture is the art of replacing our immediate surroundings, the designed or constructed space has something in common with nature: it assumes the role of something that surrounds us as a whole. Space is something we perceive and sens ...
Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
Performance usually improves when observers train with one type of a visual stimulus. Roving denotes the situation when, instead of one, two or more types of stimuli are presented randomly interleaved (one per trial). For some stimulus types, performance i ...
Association for Research in Vision and Ophthalmology2008
To investigate the mechanisms of perceptual learning, we recently introduced a paradigm in which incorrect, reverse feedback followed after some but not all vernier presentations. This feedback paradigm exerted a strong effect on performance that seemed to ...
Tactile information is actively acquired and processed in the brain through concerted interactions between movement and sensation. Somatosensory input is often the result of self-generated movement during the active touch of objects, and conversely, sensor ...
The present article evaluates the knowledge that can be attributed to the application of « Best Practices » in the field of urban habitat. It especially aims at identifying the conditions of innovation in such a setting, as well as defining the necessary c ...
It is clear to all, after a moments thought, that nature has much wemight be inspired by when designing our systems, for example: robustness, adaptability and complexity, to name a few. The implementation of bio-inspired systems in hardware has however bee ...
Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
