Understand our brain by using feeding as an entry point

 

Overview

 
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“A man can do what he wills, but not will as he will”
— Arthur Schopenhauer

For over a century, neuroscience has largely approached learning and memory through the lens of the external world—how the brain associates sights, sounds, and other sensory cues with rewards or punishments to guide future behavior. Yet long before sophisticated sensory organs evolved, organisms already had to monitor and regulate their internal environments. Changes in energy availability, osmolarity, pH, and temperature carried essential information for survival. From an evolutionary perspective, the ability to sense and respond to internal physiological conditions is among the most ancient and conserved features of life.
And the brain does far more than passively monitor the body or react to physiological imbalances. It actively learns from bodily signals, using past experiences to anticipate future physiological needs and guide adaptive behavior. Animals learn to seek nutritious foods, stop eating before the full effects of satiety emerge, and avoid foods previously associated with illness. In this way, internal physiological signals serve not only as indicators of the body's current state but also as teaching signals that shape predictive models of physiological needs and guide future actions.

We propose that learning from the body represents a fundamental yet largely overlooked dimension of learning and memory. Interoceptive learning poses unique computational challenges: physiological feedback can be delayed by minutes or even hours, yet certain forms of learning occur after a single experience and produce remarkably persistent memories. How does the brain bridge these temporal gaps to form lasting associations? What neural dynamics, circuit mechanisms, and plasticity rules enable such efficient learning? Does learning from the body follow principles distinct from those governing learning about the external world?

Our lab seeks to uncover the neural principles of interoceptive learning and memory and their roles in brain–body regulation. Using feeding and appetite regulation as primary models, we aim to understand how the brain transforms bodily experiences into lasting memories and predictions, enabling a shift from reactive homeostatic control toward proactive, predictive regulation of behavior and physiology.

Questions

  • How does the brain learn from internal bodily signals and transform physiological experiences into lasting memories that guide future behavior?

    Unlike external sensory feedback, the physiological consequences of an action often emerge after substantial delays. How does the brain associate the taste of a food with its nutritional value or harmful consequences experienced minutes or hours later? How are these associations encoded, consolidated, and retrieved to shape future food choices and motivation? Remarkably, certain forms of interoceptive learning can occur after a single experience and produce exceptionally persistent memories. What neural population dynamics, circuit architectures, and synaptic plasticity mechanisms support such efficient learning? Does learning from the body follow computational principles distinct from those underlying classical learning driven by external sensory cues?

Art Work: Julia Kuhl

Art Work: Julia Kuhl

  • How does the brain use past physiological experiences to predict future bodily needs and coordinate behavior with internal organ function?

    Internal states such as hunger and thirst are not simply passive reflections of peripheral physiology; they are shaped by context, expectations, and prior experience. How do learning and memory influence the brain's representation and perception of bodily states? How does the brain integrate interoceptive signals with external sensory information to anticipate physiological demands and guide motivated behavior? Beyond behavioral decisions, can learned predictions actively regulate peripheral organ functions even before physiological changes occur? We seek to understand how bidirectional brain–body communication enables the nervous system to move beyond reactive homeostasis toward predictive, coordinated physiological regulation.

  • How do disruptions in interoceptive learning and memory contribute to maladaptive behavior and disorders of bodily regulation?

    Many metabolic and psychiatric disorders involve a mismatch between physiological needs, subjective bodily perception, and behavioral responses. For example, individuals may experience persistent hunger despite adequate energy stores, or diminished appetite despite substantial nutritional deficits. Could these abnormalities arise, in part, from distorted learning about bodily signals, maladaptive physiological predictions, or failures to update previously acquired associations? How do alterations in the neural circuits supporting interoceptive learning reshape appetite, food-related motivation, and the perception of bodily needs? By investigating these mechanisms, we aim to provide new perspectives on obesity, anorexia nervosa, and related metabolic and psychiatric disorders.

Tools

We use multiscale approaches to comprehensively understand the mechanisms of consumption in molecular, cellular, circuit, and behavior levels.