EXPECTATION · Emerging Visual Expectation in the Brain
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2018-01-01 → 2021-04-04
- Финансиране от ЕС
- 260 930 €
- Участници
- 2
- Схема
- MSCA-IF
Линиите свързват координатора с партньорите.
Накратко на български
Визуалните очаквания изследват как мозъкът използва предишни опит и памет, за да разбере неясни образи, например връзката между цветове и форми. Това помага да се разбере как различните зони на кората съхраняват информацията под конкретна или абстрактна форма.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Emerging Visual Expectation in the Brain
Because sensory input is often ambiguous, the brain combines this input with prior expectations to disambiguate sensory information and make a reasonable guess about what is perceived in the world. The objectives for this project were to study the impact of prior expectations on basic visual perception. The main conclusions from the project were that (1) prior expectations (i.e. statistical dependencies between the color and orientation of titled lines) need to be learned over a timescale that exceeds what can reasonably be done during a laboratory experiment. There was no evidence of statistical learning after 12 days, and it is possible that these regularities are too complex to be learned at all. (2) When statistical regularities were introduced in a behaviorally irrelevant (but disruptive) stimulus, healthy human subjects did not use this information to improve their behavior on the relevant task (by cancelling out the disruptive but expected information). A new line of research looked at how concurrent visual inputs and visual memories can be represented in the brain. The main conclusions of this project were that (1) Early visual cortex is involved in representing both externally viewed information, as well as internally maintained information. (2) The brain uses multiple cortical regions, and multiple formats, to store remembered information. Early visual areas are involved in a more pictorial manner, while "higher-level" areas represent remembered information in a more abstract manner.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Falling raindrops will likely move downwards; red brake lights up ahead will predict a car slowing down. While perception of the world around us feels rich in detail, our brains lack the capacity to analyze every ‘pixel’ at every time-point. Instead, the brain relies on expectations to compress the total amount of sensory information from the environment. A failure to rely on expectations about visual inputs would lead to catastrophic consequences. For example, an air traffic controller without the ability to predict the likely trajectories of two planes coming in for landing would spell certain disaster. Remarkably, despite the obvious role in adaptively guiding behavior, the cognitive and neural mechanisms supporting perceptual expectations remain poorly understood. I will concurrently measure human behavior and neural responses to address two fundamental, yet outstanding questions: How are expectations about visual input acquired, and what is the impact of behavioral relevance? I anticipate mechanisms of expectation to change with learning and behavioral relevance. For example, driving in the rain, expectations about break lights could amplify this immediately relevant information. Expectations about falling rain, on the other hand, could support the equally important task of suppressing this irrelevant information so you may return home safely.
Оригинален текст от CORDIS (на английски).
Участници
- STICHTING RADBOUD UNIVERSITEIT · NijmegenКоординаторНидерландия
- THE REGENTS OF THE UNIVERSITY OF CALIFORNIA · OaklandСъединени щати
Връзки
Данни: CORDIS, © Европейски съюз