A non-invasive, brain-to-brain interface (BBI) requires precision neuromodulation and high temporal resolution as well as portability to increase accessibility. A BBI is a combination of the brain–computer interface (BCI) and the computer–brain interface (CBI). The optimization of BCI parameters has been extensively researched, but CBI has not. Parameters taken from the BCI and CBI literature were used to simulate a two-class medical monitoring BBI system under a wide range of conditions. BBI function was assessed using the information transfer rate (ITR), measured in bits per trial and bits per minute. The BBI ITR was a function of classifier accuracy, window update rate, system latency, stimulation failure rate (SFR), and timeout threshold. The BCI parameters, including window length, update rate, and classifier accuracy, were kept constant to investigate the effects of varying the CBI parameters, including system latency, SFR, and timeout threshold. Based on passively monitoring BCI parameters, a base ITR of 1 bit/trial was used. The optimal latency was found to be 100 ms or less, with a threshold no more than twice its value. With the optimal latency and timeout parameters, the system was able to maintain near-maximum efficiency, even with a 25% SFR. When the CBI and BCI parameters are compared, the CBI’s system latency and timeout threshold should be reflected in the BCI’s update rate. This would maximize the number of trials, even at a high SFR. These findings suggested that a higher number of trials per minute optimizes the ITR of a non-invasive BBI. The delays innate to each BCI protocol and CBI stimulation method must also be accounted for. The high latencies in each are the primary constraints of non-invasive BBI for the foreseeable future.

中文翻译：

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优化非侵入性脑对脑接口的计算机-脑接口参数

非侵入性的脑对脑接口 (BBI) 需要精确的神经调节和高时间分辨率以及可移植性以增加可访问性。BBI 是脑机接口 (BCI) 和计算机脑接口 (CBI) 的组合。BCI 参数的优化已经被广泛研究，但 CBI 还没有。取自 BCI 和 CBI 文献的参数用于模拟在各种条件下的两类医疗监测 BBI 系统。BBI 功能使用信息传输率 (ITR) 进行评估，以每次试验的位数和每分钟的位数为单位。BBI ITR 是分类器准确性、窗口更新率、系统延迟、刺激失败率 (SFR) 和超时阈值的函数。BCI 参数，包括窗口长度、更新率和分类器准确度，保持恒定以研究改变 CBI 参数的影响，包括系统延迟、SFR 和超时阈值。基于被动监控 BCI 参数，使用了 1 位/试验的基本 ITR。发现最佳延迟为 100 毫秒或更短，阈值不超过其值的两倍。凭借最佳延迟和超时参数，系统能够保持接近最大效率，即使 SFR 为 25%。当比较 CBI 和 BCI 参数时，CBI 的系统延迟和超时阈值应反映在 BCI 的更新率中。即使在高 SFR 下，这也会使试验次数最大化。这些发现表明，每分钟更多的试验次数可以优化非侵入性 BBI 的 ITR。还必须考虑到每个 BCI 协议和 CBI 刺激方法固有的延迟。