Data and code for "<b>Perceptual learning of fine contrast discrimination under non-roving, roving-without-flanker and roving-with-flanker conditions and its relation to neuronal activity</b><b> in macaque V1</b>"
收藏DataCite Commons2024-02-01 更新2024-07-13 收录
下载链接:
https://data.ncl.ac.uk/articles/dataset/Data_and_code_for_b_Perceptual_learning_of_fine_contrast_discrimination_under_non-roving_roving-without-flanker_and_roving-with-flanker_conditions_and_its_relation_to_neuronal_activity_b_b_in_macaque_V1_b_/25109123
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资源简介:
Perceptual learning V1 data set and code.
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Data were collected in relation to a contrast perceptual learning task. Original raw data were recorded as 'Neuralynx' and 'Cortex' files.
Behavioural and neuron (spiking) data were extracted from these, and stored in *.mat files using custom made MATLAB routines.
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The data files (*.mat) should be analysed with the associated MATLAB files (*.m), which will read them and replot the figures in the paper.
知觉学习初级视皮层(V1)数据集及配套代码。
本数据集采集自一项对比度知觉学习任务。原始未处理数据以Neuralynx与Cortex格式文件记录。行为学数据与神经元锋电位数据均从上述原始文件中提取,并通过自定义MATLAB程序转换存储为*.mat格式文件。
需使用配套的MATLAB脚本文件(*.m)对*.mat格式数据文件进行分析,该脚本可读取数据并复现论文中的相关图表。
提供机构:
Newcastle University创建时间:
2024-01-31
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含与感知学习研究相关的数据和MATLAB代码,聚焦于对比度辨别任务,并关联猕猴V1区神经元活动。数据来自行为学和神经元尖峰记录,存储为MATLAB格式文件,可用于重现论文中的图表。数据集发布于2024年,采用CC BY 4.0许可证,关键词包括感知学习和V1视觉皮层。
以上内容由遇见数据集搜集并总结生成




