Abstract This paper introduces the Cummins Functions Approach to neural representations (CFA), which aims to capture the notion of representation that is relevant to contemporary neuroscientific practice. CFA shares the common view that 'to be a representation of X' amounts to 'having the function of tracking X', but maintains that the relevant notion of function is defined by Robert Cummins's account. Thus, CFA offers a notion of neural representation that is dependent on explanatory context. I argue that CFA can account for the normativity of neural representations, and defend its dependence on explanations.

中文翻译：

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什么是神经表征？康明斯函数方法

摘要 本文介绍了神经表征 (CFA) 的康明斯函数方法，旨在捕捉与当代神经科学实践相关的表征概念。CFA 同意“成为 X 的代表”等于“具有跟踪 X 的功能”的共同观点，但坚持认为相关的功能概念是由罗伯特康明斯的帐户定义的。因此，CFA 提供了依赖于解释性上下文的神经表示概念。我认为 CFA 可以解释神经表征的规范性，并捍卫其对解释的依赖。