VISUAL ATTENTION · Revealing the neural mechanisms of attentional selection in the human visual cortex
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2010-09-01 → 2014-08-31
- Финансиране от ЕС
- 100 000 €
- Участници
- 1
- Схема
- MC-IRG
Линиите свързват координатора с партньорите.
Накратко на български
Невронните механизми на вниманието се изследват чрез въпроса дали можем да следим само една характеристика на обект, например посоката на футболист, без да забелязваме цвета на екипа му. Това помага да се разбере как мозъкът избира информация и как тренировките подобряват възприятието ни.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Revealing the neural mechanisms of attentional selection in the human visual cortex
Imagine you are watching a soccer game, carefully attending to the player on your favorite team to determine which direction he will go. In studies on visual perception, the player is considered an “object”, which has multiple features: direction of motion, the color of his outfit, etc. Can you voluntarily restrict attention to just the player’s direction of motion, the feature that is relevant for your decision, or does your attention unintentionally spread to also enhance the particular shade of orange in his shirt? Major theories of visual attention assume that attending to one feature of a visual object automatically results in selection of the whole object, including task-irrelevant features, but are they correct in assuming that the complete object comprises the basic unit of selection? The overall aim of this research is to reveal the neural mechanisms of selective attention by addressing this issue. We focus on three major research questions: what is the unit of selective attention, how does selective attention affect early visual response properties, and how does selective attention impact perceptual learning? We address these questions using a combination of behavioral, theoretical and neuroimaging techniques, together with novel “decoding” methods to analyze brain activity patterns. Our results indicate that top-down attention is capable of selectively enhancing the processing of a single task-relevant visual feature, without spreading to task-irrelevant features. We furthermore find that the way that attention impacts neural responses depends on the type of attention being deployed. Finally, we show that extensive training on a perceptual task can refine the neural representation of behaviorally relevant information, and that visual attention may play a critical mediating role in revealing these training-based effects. These results provide important new insights into the neural basis of selective attention, with significant implications for theories of visual attention and theories of cortical visual function.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Imagine you are watching a soccer game, carefully attending to the player on your favourite team to determine which direction he will go. In studies on visual perception, the player is considered an “object”, which has multiple features: direction of motion, the colour of his outfit, etc. Can you voluntarily restrict attention to just the player’s direction of motion, the feature that is relevant for your decision, or does your attention unintentionally spread to also enhance the particular shade of orange in his shirt? Major theories of visual attention assume that attending to one feature of a visual object automatically results in selection of the whole object, including task-irrelevant features, but are they correct in assuming that the complete object comprises the basic unit of selection? The overall aim of this proposal is to reveal the neural mechanisms of selective attention by addressing this issue. I will focus on three major research questions: what is the unit of selective attention, how is attentional selection implemented in the visual cortex, and how does selective attention impact perceptual learning? I will address these questions using a combination of behavioural, computational modelling, and neuroimaging techniques, together with novel “decoding” methods to analyze brain activity patterns. This multifaceted approach will allow me to rigorously investigate how cortical selectivity for visual features changes with top-down attention, and to address these unresolved questions regarding the neural mechanisms of human visual attention.
Оригинален текст от CORDIS (на английски).
Участници
- STICHTING RADBOUD UNIVERSITEIT · NijmegenКоординаторНидерландия
Връзки
Данни: CORDIS, © Европейски съюз
