.png){kind=icon}
.png){kind=icon}
Return
Predictive Processing: A Canonical Cortical Computation
.png){kind=icon}
OA
AI
DOI：10.1016/j.neuron.2018.10.003.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This perspective describes predictive processing as a computational framework for understanding cortical function in the context of emerging evidence, with a focus on sensory processing. We discuss how the predictive processing framework may be implemented at the level of cortical circuits and how its implementation could be falsified experimentally. Lastly, we summarize the general implications of predictive processing on cortical function in healthy and diseased states.
Keywords:
PRIMARY VISUAL-CORTEX
RECEPTIVE-FIELDS
ORGANIZING PRINCIPLE
NEURAL CIRCUIT
LOCAL CIRCUITS
SPATIAL MAP
LONG-RANGE
MODULATION
ADAPTATION
CONNECTIVITY
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
15
Papers:
1.4W
Citations:
9.9W