首页/数据集/Brain areas revealed by the parametric model.

Brain areas revealed by the parametric model.

NIAID Data Ecosystem2026-03-07 收录

神经影像脑区定位

认知神经建模

数据链接：

https://figshare.com/articles/dataset/_Brain_areas_revealed_by_the_parametric_model_/670025 数据链接链接失效反馈

官方服务：

资源简介：

(STS = superior temporal sulcus, MOG = middle occipital gyrus, IFG = inferior frontal gyrus).

应用场景：

创建时间：

2013-04-03

认知神经建模

脑网络分析

Category-tagged scaled cortical activation values across 1016 cortical and subcortical brain regions during auditory and visual imagery of familiar manipulable tools, instruments and fruits/vegetables

NIAID Data Ecosystem60

Summary of the GLM analysis of the P3 latencies.

事件相关电位

认知神经建模

Summary of the GLM analysis of the P3 latencies.

Figshare2017-09-06 更新50

Model estimates for the mental state × domain × attentional network Bayesian linear mixed effects models.

认知神经建模

混合效应模型

Model estimates for the mental state × domain × attentional network Bayesian linear mixed effects models.

NIAID Data Ecosystem30

A Model for Integrating Elementary Neural Functions into Delayed-Response Behavior

认知神经建模

工作记忆与联想记忆

It is well established that various cortical regions can implement a wide array of neural processes, yet the mechanisms which integrate these processes into behavior-producing, brain-scale activity re

NIAID Data Ecosystem60

Data for: Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence

工作记忆门控

认知神经建模

Adaptive cognitive-control involves a hierarchical cortico-striatal gating system that supports selective updating, maintenance, and retrieval of useful cognitive and motor information. Here, we devel

NIAID Data Ecosystem40

Brain areas revealed by the parametric model.

资源简介：

相关数据集