Ritchie J Brendan, Kaplan David Michael, Klein Colin
Laboratory of Biological Psychology, KU Leuven, Leuven, Belgium.
Department of Cognitive Science, Macquarie University, Sydney, Australia.
Br J Philos Sci. 2019 Jun;70(2):581-607. doi: 10.1093/bjps/axx023. Epub 2017 Sep 6.
Since its introduction, multivariate pattern analysis (MVPA), or 'neural decoding', has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder's dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: decodability is a poor guide for revealing the content of neural representations. However, we also suggest how the dictum can be improved on, in order to better justify inferences about neural representation using MVPA. 1Introduction2A Brief Primer on Neural Decoding: Methods, Application, and Interpretation 2.1What is multivariate pattern analysis?2.2The informational benefits of multivariate pattern analysis3Why the Decoder's Dictum Is False 3.1We don't know what information is decoded3.2The theoretical basis for the dictum3.3Undermining the theoretical basis4Objections and Replies 4.1Does anyone really believe the dictum?4.2Good decoding is not enough4.3Predicting behaviour is not enough5Moving beyond the Dictum6Conclusion.
自引入以来,多变量模式分析(MVPA),即“神经解码”,已经改变了认知神经科学领域。其影响力的背后是一个关键的推论,我们称之为解码器法则:如果信息可以从神经活动模式中解码出来,那么这就为这些模式所代表的信息提供了有力证据。尽管该法则在解码研究中是一个被广泛接受且动机充分的原则,但它在哲学上却很少受到关注。我们对该法则进行了批判性评估,认为它是错误的:可解码性并不是揭示神经表征内容的良好指南。然而,我们也提出了如何改进该法则的建议,以便更好地证明使用MVPA对神经表征进行推理的合理性。1引言2神经解码简要入门:方法、应用与解释2.1什么是多变量模式分析?2.2多变量模式分析的信息优势3为什么解码器法则是错误的3.1我们不知道解码的是什么信息3.2该法则的理论基础3.3削弱理论基础4反对意见与回应4.1真的有人相信该法则吗?4.2良好的解码并不够4.3预测行为并不够5超越该法则6结论。