The what, how, and why of naturalistic behavior

Ann Kennedy*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations

Abstract

In the past few years, advances in machine learning have fueled an explosive growth of descriptive and generative behavior models of animal behavior. These new approaches offer higher levels of detail and granularity than has previously been possible, allowing for fine-grained segmentation of animals' actions and precise quantitative mappings between an animal's sensory environment and its behavior. How can these new methods help us understand the governing principles shaping complex and naturalistic behavior? In this review, we will recap ways in which our ability to detect and model behavior have improved in recent years, and consider how these techniques might be used to revisit classical normative theories of behavioral control.

Original languageEnglish (US)
Article number102549
JournalCurrent opinion in neurobiology
Volume74
DOIs
StatePublished - Jun 2022

ASJC Scopus subject areas

  • General Neuroscience

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