.png){kind=icon}
返回
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}
分享.png){kind=icon}
收藏
摘要
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.
Keyword:
RECEPTIVE-FIELDS
CHANNELS
PATTERNS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.9
论文数:
28.3W
被引数:
83.5W
机构
引用论文
Fatty Acid Ethyl Esters: A Novel Biologic Marker for Heavy In Utero Ethanol Exposure: A Case Report
PREAI
分享收藏
分享收藏PartsNet.png)
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial IntelligenceIF0
PREAI
分享收藏
查看更多内容