Effects of Visual Experience on the Representation of Objects in the Prefrontal Cortex

doi:10.1016/S0896-6273(00)00019-2

Paper

Effects of Visual Experience on the Representation of Objects in the Prefrontal Cortex

Published Jul 1, 2000 · G. Rainer, E. Miller

Neuron

Q1 SJR score

303

Citations

23

Influential Citations

Full text

Semantic Scholar

Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Non-RCT

Animal Study

Highly Cited

Study Snapshot

Key takeawayMonkeys' ability to recognize degraded objects improves with practice, leading to more narrowly tuned neuron activity in the prefrontal cortex, making object representation more resistant to degradation.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Sign up to use Study Snapshot

Consensus is limited without an account. Create an account or sign in to get more searches and use the Study Snapshot.

Create an account

Paper

Effects of Visual Experience on the Representation of Objects in the Prefrontal Cortex

Sign up to use Study Snapshot

References

Neural representation of visual objects: encoding and top-down activation

Associative codes in the visual cortex are created by neurons linking temporally associated stimuli, and both bottom-up signals from the retina and top-down signals from the prefrontal cortex can trigger their retrieval.

Perceptual learning in object recognition: object specificity and size invariance

Object-specific learning in perceptual learning transfers across image size changes, indicating that learning in object recognition is highly specific and insensitive to image size.

Learning to find a shape

Object identification improves dramatically after several days of training, with learning specific for object position, orientation, and configuration, potentially shifting cortical representation of complex features towards earlier stages in the visual pathway.

Signal but not noise changes with perceptual learning

Perceptual learning improves discrimination by enhancing signal strength, but does not affect internal noise, providing important constraints for theories of learning.

Mechanisms of perceptual learning

Perceptual learning improves performance on peripheral orientation discrimination tasks by improving filtering external noise and suppressing additive internal noise, potentially reflecting channel weighting.

Citations