The Entangled Brain

• Published in: Journal of cognitive neuroscience Vol. 35; no. 3; pp. 349 - 360
• Main Author: Pessoa, Luiz
• Format: Journal Article
• Language: English
• Published: One Broadway, 12th Floor, Cambridge, Massachusetts 02142, USA MIT Press 01.03.2023; MIT Press Journals, The
• Subjects: Brain; Brain architecture; Cognition; Emotions; Functional morphology; Humans; Motivation; Neural networks; Structure-function relationships
• ISSN: 0898-929X; 1530-8898; 1530-8898
• DOI: 10.1162/jocn_a_01908

(Pessoa, L., 2002. MIT Press) promotes the idea that we need to understand the brain as a complex, entangled system. Why does the complex systems perspective, one that entails emergent properties, matter for brain science? In fact, many neuroscientists consider these ideas a distraction. We discuss three principles of brain organization that inform the question of the interactional complexity of the brain: (1) massive combinatorial anatomical connectivity; (2) highly distributed functional coordination; and (3) networks/circuits as functional units. To motivate the challenges of mapping structure and function, we discuss neural circuits illustrating the high anatomical and functional interactional complexity typical in the brain. We discuss potential avenues for testing for network-level properties, including those relying on distributed computations across multiple regions. We discuss implications for brain science, including the need to characterize decentralized and heterarchical anatomical–functional organization. The view advocated has important implications for causation, too, because traditional accounts of causality provide poor candidates for explanation in interactionally complex systems like the brain given the distributed, mutual, and reciprocal nature of the interactions. Ultimately, to make progress understanding how the brain supports complex mental functions, we need to dissolve boundaries within the brain—those suggested to be associated with perception, cognition, action, emotion, motivation—as well as outside the brain, as we bring down the walls between biology, psychology, mathematics, computer science, philosophy, and so on.