当前位置: »论坛 › 科研专区 › 文献互助› Dual-Constraint Optimization of Mouse V1 Modeling: I ...

[IEEE] Dual-Constraint Optimization of Mouse V1 Modeling: Integrating Sparsity and Excitation–Inhibition Balance for Improved Representational Similarity With DNNs

求助已关闭

VillaChen 发表于 2026-9-20 10:37:18 | 显示全部楼层 |阅读模式

悬赏10积分

期刊：IEEE Transactions on Neural Networks and Learning Systems

文献作者：Luntian Mou; Siqi Zhen; Peize Li; Wenjie Chen; Lei Ma; Nan Ma; Tiejun Huang

出版日期：2026--

DOI号：10.1109/tnnls.2026.3728662

下载链接：https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?arnumber=11691098

文献链接：https://doi.org/10.1109/tnnls.2026.3728662

当前文献来源于 Institute of Electrical and Electronics Engineers (IEEE)。

备注信息：

使用道具捐赠获取积分应助有误反馈

全部回复0 显示全部楼层

发表回复

VillaChen Lv.4

VIP会员

发布
回复
积分
560

[IEEE] Dual-Constraint Optimization of Mouse V1 Modeling: Integrating Sparsity and Excitation–Inhibition Balance for Improved Representational Similarity With DNNs

发表回复

同分类求助

最新回复

站点公告

今日热心研友

（热心研友QQ群）

[IEEE] Dual-Constraint Optimization of Mouse V1 Modeling: Integrating Sparsity and Excitation–Inhibition Balance for Improved Representational Similarity With DNNs 一键复制

发表回复

同分类求助

最新回复

站点公告

今日热心研友

（热心研友QQ群）

[IEEE] Dual-Constraint Optimization of Mouse V1 Modeling: Integrating Sparsity and Excitation–Inhibition Balance for Improved Representational Similarity With DNNs