NSF Workshop Report: Exploring Measurements and Interpretations of Intelligent Behaviors Across Animal Model Systems

Area of Science:

• Neuroscience
• Comparative Cognition
• Evolutionary Biology

Background:

• Defining and measuring intelligence is a core challenge in neuroscience.
• Connecting measurable brain properties to abstract concepts like intelligence is difficult.
• Evolutionary diversity raises questions about a unifying theory of intelligence.

Purpose of the Study:

• To explore diverse perspectives on intelligence across species.
• To debate the utility of defining intelligence in neuroscience.
• To examine intelligence within ecological niches and potential climate change impacts.

Main Methods:

• Convened experts from multiple animal model systems (National Science Foundation NeuroNex consortium).
• Presented data from humans, macaques, ferrets, crows, octopuses, bees, and flies.
• Highlighted convergent evolution in working memory between primates and crows.

Main Results:

• Intelligence definitions vary significantly across species and research approaches.
• Ecological niches shape species-specific cognitive capabilities.
• Convergent evolution demonstrates shared neural mechanisms for working memory in disparate species.

Conclusions:

• Defining intelligence remains a complex, multifaceted challenge in neuroscience.
• Comparative studies across diverse species offer valuable insights into cognitive evolution.
• Understanding intelligence is crucial for addressing challenges like climate change impacts on behavior.