HGF Model Parameter Estimates for 124 healthy human participants

Estimated HGF parameters for 124 participants.<br>x.DrugID gives the row-wise drug identifier for each participant, where:1 = Placebo2 = DA-3 = ACh-4 = NA-<br>x.DeltaAlertness and x.BodyWeight were used as covariates in the analyses.<br>Alpha1 trajectories 30 trials either side of true contextual change-points are provided for the 32 participants from the Placebo group. These trajectories are categorised according to three types of transition matrix switch:1. 0th order to 0th order (x.PlaceboAlpha1_ZeroOrdertoZeroOrder)2. 0th order to 1st order (x.PlaceboAlpha1_ZeroOrdertoFirstOrder)3. 0th order to Alternating (x.PlaceboAlpha1_ZeroOrdertoAlternating)<br>Data are participant x trial from outcome (-30 to 30).

本数据集收录了124名受试者的分层高斯滤波器（Hierarchical Gaussian Filter, HGF）参数估计结果。
x.DrugID为每名受试者提供逐行的药物标识符，对应关系如下：1=安慰剂（Placebo）、2=DA、3=ACh、4=NA。
分析过程中以x.DeltaAlertness与x.BodyWeight作为协变量。
安慰剂组的32名受试者提供了真实情境变化点两侧各30个试次的Alpha1轨迹数据。此类轨迹依据三种转移矩阵切换类型进行分类：
1. 零阶至零阶（x.PlaceboAlpha1_ZeroOrdertoZeroOrder）
2. 零阶至一阶（x.PlaceboAlpha1_ZeroOrdertoFirstOrder）
3. 零阶至交替型（x.PlaceboAlpha1_ZeroOrdertoAlternating）
数据维度为受试者×试次，结果取值范围为-30至30。