A comprehensive summary of Dr. Shamil Chandaria’s synthesis of computational neuroscience and contemplative philosophy.
How do we live a good life? For millennia, ancient philosophers and contemplative traditions have offered frameworks for human flourishing. Today, modern computational neuroscience is beginning to map the biological mechanisms behind these ancient insights.
In his deeply insightful work, Dr. Shamil Chandaria (Senior Research Fellow at Oxford’s Centre for Eudaimonia and Human Flourishing) bridges the gap between ancient wisdomβsuch as Buddhism, Advaita Vedanta, and Greek philosophyβand the modern neuroscientific lens of the Bayesian Brain and Predictive Processing.
This post summarizes the core concepts of his framework, explaining how the mechanics of our brain’s prediction engine hold the key to overcoming suffering and achieving true human flourishing.
To understand flourishing, we must first distinguish between two historical definitions of happiness:
Hedonia is the state of maximizing pleasure and minimizing pain. It is driven by transient, external stimuli (wealth, status, good food, entertainment).
Originating from Aristotle, Eudaimonia translates closer to “human flourishing,” “meaning,” or “virtue.” It is not about feeling good in the moment, but about living well, realizing one’s potential, and cultivating a deep sense of connection, purpose, and self-mastery.
To understand why we suffer and how to achieve Eudaimonia, Dr. Chandaria employs the Predictive Processing model of the brain (often associated with Karl Friston’s Free Energy Principle).
Traditionally, we thought the brain passively received sensory input from the world and reacted to it. Modern neuroscience flips this:
The brain’s primary goal is to minimize this prediction error (minimizing “Free Energy” or surprise). It does this in two ways:
How does predictive processing map onto ancient wisdom? Perfectly.
In Buddhism, the concept of Dukkha is often translated as suffering, unsatisfactoriness, or stress. Through the modern lens, Dukkha is essentially persistent prediction error.
Our sense of “self” or “ego” is just a high-level predictive model. When this model becomes too rigid, too tightly held, or misaligned with the impermanent nature of reality, it generates massive prediction errors.
When the ego is heavily weighted (high precision), we become defensive, anxious, and disconnected. We suffer because we are constantly fighting reality to make it match our rigid internal models.
If suffering is caused by overly rigid predictive models (a tight ego), then the path to Eudaimonia requires loosening those models. This is precisely what contemplative practices achieve.
Meditation, mindfulness, and even certain psychedelic interventions (as described by the REBUS model: Relaxed Beliefs Under Psychedelics) work by reducing the “precision weighting” of our top-down priors.
By practicing non-judgmental awareness:
As the rigid model of the “separate self” relaxes, the boundary between the observer and the observed begins to dissolve. This leads to non-dual awarenessβa profound state of interconnectedness and unconditional peace. From a neurobiological standpoint, the brain optimizes its models to be perfectly in tune with the environment, minimizing systemic friction (Free Energy).
You don’t need to be a neuroscientist or a monk to apply these principles. Here are practical ways to cultivate Eudaimonia in your own life:
“The ultimate goal is not to stop predicting, but to hold our predictions so lightly that we are no longer crushed when reality inevitably breaks them.”
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Updated on 2026 Oct 11.
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