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
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.
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.
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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.
2000·152citations·Y. Miyashita et al.·Current Opinion in Neurobiology
Current Opinion in Neurobiology
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.
2000·153citations·Christopher S. Furmanski et al.·Vision Research
Vision Research
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.
2000·160citations·Mariano Sigman et al.·Nature Neuroscience
Nature Neuroscience
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.
1999·386citations·B. Dosher et al.·Vision Research
Vision Research
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