Hacohen, Ori (2021) What Are Neural Representations? A Cummins Functions Approach. [Preprint]

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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.

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Item Type:	Preprint
Creators:	Creators Email ORCID Hacohen, Ori hacohenori1@gmail.com 0000-0001-9757-1202
Subjects:	Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science Specific Sciences > Cognitive Science > Concepts and Representations
Depositing User:	Dr. Ori Hacohen
Date Deposited:	19 Nov 2021 04:52
Last Modified:	19 Nov 2021 04:52
Item ID:	19907
Subjects:	Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science Specific Sciences > Cognitive Science > Concepts and Representations
Date:	17 November 2021
URI:	https://philsci-archive.pitt.edu/id/eprint/19907

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