Subpopulations of neurons in lOFC encode previous and current rewards at time of choice

This dataset contains behavioral, neural, and statistical modeling data for rats performing a value-based decision making task. It has been described in the following papers: 1. Hocker, David, Brody, Carlos D., Savin, Cristina., and Constantinople, Christine M. "Subpopulations of neurons in lOFC encode previous and current rewards at time of choice." eLife (2021), https://doi.org/10.7554/eLife.70129<br> 2. Constantinople, Christine M., et al. "Lateral orbitofrontal cortex promotes trial-by-trial learning of risky, but not spatial, biases." eLife 8 (2019): e49744. <br> 3. Constantinople, Christine M., Alex T. Piet, and Carlos D. Brody. "An analysis of decision under risk in rats." Current Biology 29.12 (2019): 2066-2074. <br> The behavior data details the trial-by-trial contingencies, outcomes, and timing of the animal's choices in a 2 alternative forced choice task for probabilistic water rewards, and the electrophysiological data contains trial-by-trial firing rates and individual spike times of isolated single units recorded in lateral orbitofrontal cortex. The generalized linear model (GLM) fits are summarized by the response kernels to the task variables that are used to model trial-by-trial spiking activity. Finally, results of clustering analyses that identified distinct subpopulations or neural responses are also provided. The files are Matlab (.mat) data files, and are provided in both an individual neuron and aggregated format for the behavioral and electrophysiological data. The model files for each neuron correspond to the GLM described in Hocker et al., 2021., and the code that fits those parameters is provided at github.com/constantinoplelab/published/ .本数据集包含大鼠执行基于价值的决策任务时所产生的行为学、神经电生理学及统计建模数据。本数据集已在以下三篇学术文献中进行过详细阐述： 1. Hocker, David, Brody, Carlos D., Savin, Cristina, 与 Constantinople, Christine M. "Subpopulations of neurons in the lateral orbitofrontal cortex encode reward and reward history." eLife (2021), https://doi.org/10.7554/eLife.70129 2. Constantinople, Christine M., 等. "Lateral orbitofrontal cortex promotes trial-by-trial learning of risky biases, but not spatial biases." eLife 8 (2019): e49744 3. Constantinople, Christine M., Piet, Alex T., 与 Brody, Carlos D. "An Analysis of Risky Decision Making in Rats." Current Biology 29.12 (2019): 2066-2074 行为学数据详细记录了该双选强制选择任务的逐试次关联规则、实验结果、选择时机，以及大鼠在该任务中的所有选择行为，该任务采用概率性水奖励作为强化物。 神经电生理学数据包含从大鼠外侧眶额叶皮层（lateral orbitofrontal cortex, lOFC）记录到的单个神经元的逐试次放电频率、锋电位时间，以及分离的单个神经元单位的相关数据。 广义线性模型（generalized linear model, GLM）的拟合结果通过响应核函数对任务变量进行汇总，该响应核函数用于建模逐试次的锋电位活动。 本数据集还包含聚类分析结果，该分析识别出了不同的神经元亚群和对应的神经响应模式。 本数据集的所有文件均为Matlab（.mat）格式数据文件，其中行为学与电生理数据同时提供了单神经元级和聚合级两种存储格式。每个神经元对应的模型文件均与Hocker等人2021年的研究中所使用的广义线性模型相匹配，且拟合该模型参数的代码已公开于github.com/constantinoplelab/published/。