-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
▲ Click on the blue text above to follow CellPress Cell Science ▲ I am happy to show you our carefully selected 2020 Trends in Cognitive Sciences (IF 20.
229) best articles
.
This collection includes reviews and opinion articles, reflecting the breadth of the field of cognitive science
.
Topic rich, the impact from the nature of consciousness and perception of language, to the depth of the neural network is to mimic the human learning process, as well as the existence of the "social brain" ( 'social' brain) and so on
.
This collection includes the most downloaded and cited articles of Trends in Cognitive Sciences in 2020, as well as some editorial recommendations
.
Hope you like this series
.
For comments, please contact tics@cell.
com
.
Interested in publishing your review article in Trends in Cognitive Sciences? Please scan and submit the paper proposal (presubmission)
.
Perception prediction paradox Our brain needs to construct a real perception that can reflect the real state of the world from the noisy information that impacts the senses, as well as information perception that can convey unknown content
.
Some far-reaching theories believe that both perceptions are shaped by anticipation of the possible state of the world
.
However, the current interpretation models contradict each other as to how expectations affect the real perception or the shaping of information perception
.
The former (real perception) believes that perception is dominated by expectations, and the latter (information perception) believes that the intuition of event expectations is suppressed
.
In order to solve this paradox, Clare Press, Peter Kok and Daniel Yon from the University of London published opinions and proposed a two-process model
.
According to the interpretation of this model, probabilistic knowledge initially biases perception towards the expectation of possible things, and then biases it towards events that trigger a high degree of surprise
.
▲
