C. 在验证方面。只是部分。根据我的快速阅读，这个 NEVO 模型仅在数字孪生编码模型中优化了神经响应。据报道，数字孪生模型具有可靠的预测有效性 [4]，顺便说一句，这不是我在 B 点中提到的虚拟大脑模型。此外，输出看起来在神经生物学上是合理的，但目前还没有独立模型或新的功能磁共振成像显示优化的刺激实际上驱动目标区域。这是使用之前收集的功能磁共振成像数据进行的，并且对该模型的全面验证*是*明显的下一步，但收集此类数据的资金并非凭空而来：需要资金，而这样的论文可以帮助他们获得资金。
D. 我要说的最后一点。 我们长期以来一直能够创造静态刺激，我们可以相当确定这些刺激平均会激活高于基线的某些大脑区域。某些刺激区域对在人与人之间更加同质，而其他刺激区域对例如梭形面部区域 (FFA) 足够小，个体差异阻碍了简单的 ROI 方法，识别依赖于使用面部刺激在个体层面进行识别，但在大多数情况下，它是可以可靠定位的。大脑激活是非常粗糙的事情。在功能磁共振成像中，您谈论的是〜3x3x3mm体素（27mm^3），其中血流动力学响应具有大量空间自相关性，或者在脑电图中，感受野的表面空间面积非常大（〜400mm^2）。这些虚拟双胞胎模型已经在大脑动力学建模方面做得不错，其中参数被调整到*在这个规模*..但是这个规模没有大量的信息内容。 通过视频内容实现自动化并不是那么容易实现的。
I sometimes wonder if they are leaving their best models for purely internal use. They are after regular users, integration locking with their full stack lock-in...having the best AI public might not add much to that play...just good enough for most people...while their internal models can help their company achieve faster production.. idk
the title was flamebait, but its true for him...and for me. I do neuroimaging. It won't answer any question / coding task having to do with data analysis / statistical analysis. etc. It IS useless, for me.
I absolutely have been unable to use Fable for any neuroimaging work.
Its fine. The other models are good enough, honestly...and while I AM annoyed that the filter is so broad, I also understand it, as I do believe that models can become dangerous as WMDs, eventually. Still, it is completely useless for me.
The only question I had was being flagged for other reasons, so I asked it a mechanical engineering question, and it was just fine with that.