THE FEEDBACK

By Nedah N. Nemati (Alden March Bioethics Institute at Albany Medical College)

Abstract

Recent advances in neuroscience have introduced a wave of technologies and experimental paradigms aimed at studying animal behavior under more natural conditions. These approaches promise to reconcile the control of laboratory settings with the complexity of real-world environments. Although these methods, here collectively termed naturalistic neuroscience, are often regarded as groundbreaking, this paper critically assesses their conceptual underpinnings and methodological consequences. Specifically, I examine the assumptions held by proponents of what I call the ‘conventional framework’ of naturalistic neuroscience, who seek to more accurately capture animals’ true, unaltered behavior. By closely attending to experimental practices involving nonhuman animal models, I show how distinct theoretical assumptions shape what is meant by naturalistic and how these differences challenge an often-invoked ideal of methodological pluralism. I discourage treating naturalistic neuroscience as a unified enterprise, arguing that the conventional discourse obscures the diversity of scientific aims and practices, both fostering theoretical fragmentation and impeding efforts to unify the study of behavior.

You can find Nedah’s paper at Biology & Philosophy here: What is ‘natural’ about naturalistic neuroscience? (2026)

Commentary by Nedah N. Nemati

Negotiating the tension between experimental control and behavioral complexity characterizes much of neuroscience, especially as new technologies aim to both control and capture behavioral flexibility through the study of freely moving animals in more ecological settings. Collectively, these experiments fall under the banner of ‘naturalistic neuroscience’.

Although many neuroscientists routinely proclaim to study ‘natural’ behavior, there has been relatively little discussion about what makes a study of behavior naturalistic. What defines the study of natural behavior in neuroscience? How do these commitments influence efforts to integrate different concepts of behavior or develop a more unified account of behavior?

This paper answers these questions while also illustrating how philosophy of science can contribute to some of behavioral neuroscience’s conceptual challenges. Specifically, attending closely to neuroscientific practice problematizes the idea that experimental control straightforwardly comes at the expense of natural behavior.

Examining how neuroscientists design experiments, select animal models, and decide what counts as natural behavior shows that researchers who designate their research as ‘naturalistic’ may rely on importantly different and sometimes conflicting assumptions about what behavior is and how it ought to be studied.

Two cases in the paper make visible why scientists should attend to how they use animal models. The first reveals how multiple uses of the word ‘naturalistic’ emerge when some researchers explicitly exploit the ‘artificiality’ of lab bred models to stabilize natural behavior under investigation, while others use animals that are specifically adapted to do certain behaviors. These methodological differences reveal a deeper theoretical impasse about whether animals should be understood first as animals and second as models, or first as models and second as animals.

Another case examines how scientists study natural behavior using Krogh organisms, or animals whose specific adaptations make them ideally suited for particular research questions. Even here, there is considerable variability in how Krogh models are selected: Krogh organisms may demonstrate a particular adaptive mechanism, possess traits that are experimentally accessible, or exhibit behavior of evolutionary interest. Such differences correspond to different theoretical approaches to behavior, including approaches that emphasize variation across organisms or those that seek to characterize a single model on the basis of its distinctive features.

Together, these cases show that, as neuroscience scales in its technological complexity, one cannot interpret the tools and techniques used to record and interpret behavioral and neural activity as simply appendages to experimental contexts. Instead, they provide the lens through which phenomena are understood and can establish the benchmarks against which behavioral phenomena are measured.

The relevant point of comparison need not be the animal ‘in the wild’ itself, but the behavioral features that a particular experimental system makes tractable, since these features can themselves become the benchmark for what counts as natural. For example, years of using Drosophila as a genetic tool have helped make its experimentally tractable behaviors a benchmark for what counts as natural, rather than behavior in its natural habitat.

Time and again, scientific practices are understood as requiring researchers to negotiate between competing methodological aims through dichotomized framings: increasing control and comparability can come at the expense of capturing the complexity, variability, or ecological features of the phenomena under investigation. However, strategies of control do not simply constrain what scientists can capture; they also shape what counts as natural behavior in the first place.

To better understand what is ‘natural’ about ‘naturalistic’ neuroscience, we must question the simple rhetoric of a tradeoff between capturing an animal’s ‘true’ behavior and sacrificing behavioral complexity for experimental control. Instead, we must take scientific practice more seriously.

Editor’s note: Please feel encouraged to share your thoughts and questions about this commentary and/or the article in the comment box below. And stay tuned for more posts throughout the fall!