Why Neuronal Responses Don’t Tell Us Everything: The Quirks of Assessing Brain Function

Published on April 8, 2023

Assessing how neurons contribute to cognitive abilities is a complex task. Just like in other scientific fields, neuroscientists form hypotheses about what neurons ‘represent’ or ‘encode’ and then test these ideas. However, there are unique challenges in the cognitive sciences that complicate this process. In this paper, the authors highlight one particular difficulty: relying solely on empirical data to evaluate hypotheses can lead to absurd conclusions. They argue that considering subjective factors, such as the purposeful function of neurons within a biological system, is essential for making progress in neuroscience. This parallel to the assessment of hypotheses in other fields shines a light on the nuances of understanding brain function. By recognizing that neuronal responses aren’t always sufficient to determine their role, researchers can approach the study of cognitive capacities with a more comprehensive perspective. To delve deeper into this important topic, check out the full article!

Abstract
How does neuronal activity give rise to cognitive capacities? To address this question, neuroscientists hypothesize about what neurons “represent,” “encode,” or “compute,” and test these hypotheses empirically. This process is similar to the assessment of hypotheses in other fields of science and as such is subject to the same limitations and difficulties that have been discussed at length by philosophers of science. In this paper, we highlight an additional difficulty in the process of empirical assessment of hypotheses that is unique to the cognitive sciences. We argue that, unlike in other scientific fields, comparing hypotheses according to the extent to which they explain or predict empirical data can lead to absurd results. Other considerations, which are perhaps more subjective, must be taken into account. We focus on one such consideration, which is the purposeful function of the neurons as part of a biological system. We believe that progress in neuroscience critically depends on properly addressing this difficulty.

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