Gaining knowledge mediates changes in perception (without differences in attention): A case for perceptual learning

By Lauren L. Emberson, Andy Clark. 2015

639 citations recorded by the source corpus.

Abstract Firestone & Scholl (F&S) bracket many attentional effects as “peripheral,” altering the inputs to a cognitive process without altering the processing itself. By way of contrast, I highlight an emerging class of neurocomputational models that imply profound, pervasive, nonperipheral influences of attention on perception. This transforms the landscape for empirical debates concerning possible top-down effects on perception.

Subfields: Cognitive Neuroscience, Social Psychology, Representation & Self-Supervised Learning, Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Rick A Adams
2. ChrisD . Frith
3. Karl J. Friston
4. Stephen M. Lawrie
5. Ranjay Krishna
6. Predrag Petrovic
7. Peter J. Uhlhaas
8. Michael S. Bernstein

In Social Psychology

1. ChrisD . Frith
2. Ranjay Krishna
3. Michael S. Bernstein
4. Lars Muckli
5. Philipp Sterzer
6. Rick A Adams
7. Li Fei-Fei
8. Jean Decety

In Representation & Self-Supervised Learning

1. Li-Jia Li
2. Kenji Hata
3. ChrisD . Frith
4. Ranjay Krishna
5. Michael S. Bernstein
6. Yannis Kalantidis
7. Justin Johnson
8. Yuke Zhu

In Neuroscience

1. ChrisD . Frith
2. Peter J. Uhlhaas
3. Lars Muckli
4. Rick A Adams
5. Paul C. Fletcher
6. Li Fei-Fei

Citations in the corpus

• Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations (2016, methodology): “We canonicalize the objects, attributes, relationships, and noun phrases in region descriptions and questions answer pairs to WordNet synsets.”
• The Predictive Coding Account of Psychosis (2018, background): “Biological Psyc high-level prior beliefs modulate perceptual processes is controversial (71).”