.png){kind=icon}
.png){kind=icon}
Return
Plaid masking explained with input-dependent dendritic nonlinearities
.png){kind=icon}
OA
AI
DOI：10.1038/s41598-024-75471-5.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A serious obstacle for understanding early spatial vision comes from the failure of the so-called standard model (SM) to predict the perception of plaid masking. But the SM originated from a major oversimplification of single neuron computations, ignoring fundamental properties of dendrites. Here we show that a spatial vision model including computations mimicking the input-dependent nature of dendritic nonlinearities, i.e. including nonlinear neural summation, has the potential to explain plaid masking data.
Keywords:
RECEPTIVE-FIELDS
CHANNELS
PATTERNS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.9
Papers:
27.8W
Citations:
83.5W
View more organizations