FALCON Benchmark M1-A: primary motor cortex recordings in primate during reach-to-grasp task

This dataset contains multiunit spiking times and behavioral data from a macaque performing a reach-to-grasp task. The experimental task was a center-out reaching task with four different objects in eight possible positions. Neural activity was recorded from electrode arrays implanted in primary motor cortex (M1). Electromyographical (EMG) activity was simultaneously recorded from upper limb muscles. Provided as part of the FALCON Benchmark: https://snel-repo.github.io/falcon/

The datafile contains the following data in the acquisition fields: `preprocessed_emg` containing iEMG recordings from 16 muscles and `eval_mask` indicating within-trial periods used for evaluating performance in the FALCON Benchmark. Each datafile also includes spike times in the `units` field, and trial metadata for each reach and grasp (`gocue_time`, `move_onset_time`, `contact_time`, `reward_time`, `result`, `number`, `tgt_loc`, `tgt_obj`, `obj_id`, `condition_id`) in the `trials` field.

As part of the FALCON challenge, dataset files are released in three ways. The `held-in-calib` data includes many trials of data intended for calibration of decoders in the FALCON challenge. The `held-in-minival` data is a small subset of the `held-in-calib` data intended for FALCON models to validate submission format. Lastly, `held-out-calib` data are separate sessions of data from `held-in-calib`, but have much fewer trials, intended to be used for few-shot recalibration. Please bear in mind these factors if making use of this dataset for purposes outside of the FALCON Benchmark. Each dataset split is considered one "subject" by the DANDI repository; only data from one monkey is included.

Data from an additional monkey is available here: https://dandiarchive.org/dandiset/001209

本数据集包含一只执行伸手抓取任务的猕猴的多单元锋电位时序（spiking times）数据与行为学数据。本次实验任务为中心-外周伸手任务，共设置4种不同抓取物体与8个可选目标位置。神经活动通过植入初级运动皮层（primary motor cortex，M1）的电极阵列采集获得，同时通过上肢肌肉采集肌电图（electromyography，EMG）活动数据。本数据集作为FALCON基准测试集的一部分发布：https://snel-repo.github.io/falcon/

数据文件的采集字段包含以下数据：`preprocessed_emg` 字段存储16块肌肉的积分肌电图（integrated electromyography，iEMG）记录结果，`eval_mask` 字段用于标记FALCON基准测试中用于性能评估的试次内时段。每份数据文件还包含存储于`units`字段的锋电位时序数据，以及存储于`trials`字段的单次伸手抓取试次的元数据，元数据包括：`gocue_time`（启动提示时刻）、`move_onset_time`（运动起始时刻）、`contact_time`（物体接触时刻）、`reward_time`（奖励发放时刻）、`result`（试次结果）、`number`（试次编号）、`tgt_loc`（目标位置）、`tgt_obj`（目标物体）、`obj_id`（物体ID）与`condition_id`（任务条件ID）。

作为FALCON挑战赛的组成部分，数据集文件以三种形式发布：`held-in-calib` 数据集包含大量试次数据，用于FALCON挑战赛中的解码器校准；`held-in-minival` 数据集为`held-in-calib` 的小子集，用于FALCON参赛模型验证提交格式；最后，`held-out-calib` 数据集源自`held-in-calib` 的独立实验会话，但试次数量更少，用于少样本（few-shot）重新校准。若将本数据集用于FALCON基准测试以外的场景，请留意上述数据集划分规则。DANDI仓库将每个数据集划分视为一个“被试”；本数据集仅包含一只猕猴的数据。

另一只猕猴的数据集可通过以下链接获取：https://dandiarchive.org/dandiset/001209