日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Current status of mathematical foundations of the Gestalt concepts in psychophysics

心理物理学中格式塔概念的数学基础现状

Pizlo, Zygmunt; Wang, Jie Z; Dosher, Barbara; Steinman, Robert M

Hierarchical Bayesian augmented Hebbian reweighting model of perceptual learning

感知学习的分层贝叶斯增强赫布重加权模型

Lu, Zhong-Lin; Yang, Shanglin; Dosher, Barbara Anne

Transfer of visual perceptual learning over a task-irrelevant feature through feature-invariant representations: Behavioral experiments and model simulations

通过特征不变表征将视觉感知学习迁移到与任务无关的特征上:行为实验和模型模拟

Liu, Jiajuan; Lu, Zhong-Lin; Dosher, Barbara

Enabling identification of component processes in perceptual learning with nonparametric hierarchical Bayesian modeling

利用非参数分层贝叶斯模型识别感知学习中的组成过程

Zhao, Yukai; Liu, Jiajuan; Dosher, Barbara Anne; Lu, Zhong-Lin

Hierarchical Bayesian Augmented Hebbian Reweighting Model of Perceptual Learning

感知学习的分层贝叶斯增强赫布重加权模型

Lu, Zhong-Lin; Yang, Shanglin; Dosher, Barbara

Hierarchical Bayesian perceptual template modeling of mechanisms of spatial attention in central and peripheral cuing

基于层级贝叶斯感知模板的中央和周边线索空间注意机制建模

Lu, Zhong-Lin; Dosher, Barbara Anne

Learning spatial frequency identification through reweighted decoding

通过重加权解码学习空间频率识别

Dosher, Barbara; Liu, Jiajuan; Lu, Zhong-Lin

Informational feedback accelerates learning in multi-alternative perceptual judgements of orientation

信息反馈能够加速多选感知判断中方向感的学习。

Liu, Jiajuan; Lu, Zhong-Lin; Dosher, Barbara

Estimating the Trial-by-Trial Learning Curve in Perceptual Learning with Hierarchical Bayesian Modeling

利用分层贝叶斯模型估计知觉学习中的逐次试验学习曲线

Zhao, Yukai; Liu, Jiajuan; Dosher, Barbara Anne; Lu, Zhong-Lin

Current directions in visual perceptual learning

视觉感知学习的最新研究方向

Lu, Zhong-Lin; Dosher, Barbara Anne