For over 130 years, the theories of Sigmund Freud have occupied a complex space in human history, oscillating between foundational influence and skeptical dismissal. However, a groundbreaking scientific analysis recently published in the journal Entropy suggests that Freud may have been describing fundamental principles of human cognition long before modern technology allowed us to map the brain in real time. The study highlights startling parallels between the father of psychoanalysis and one of the most prominent frameworks in contemporary neuroscience: the "prediction paradigm."
The research, conducted by Erik Stännicke, Bendik Hovet, and Line Indrevoll Stännicke, alongside their colleagues, argues that the bridge between these two seemingly disparate worlds—psychoanalysis and neuropsychology—is closer than previously imagined. While one field has spent over a century cataloging the subjective experience of the mind and the other has spent decades using mathematical models to track physical neural activity, both appear to be converging on a single, unified truth: the human brain is, at its core, a prediction machine.
The Brain as a Prediction Engine
The "prediction paradigm" is a major development in modern neuroscience that fundamentally shifts how we understand brain function. Traditionally, the brain was viewed as a reactive organ—a processor that receives sensory input from the environment, interprets that data, and generates a response. The modern predictive model turns this on its head. Instead of passively waiting for external information, the brain is characterized as an active, anticipatory system that constantly generates hypotheses about what will happen next.
In this model, the brain operates by generating a prediction of the world, then sampling sensory input to test that prediction. When a discrepancy—or "prediction error"—occurs between what the brain anticipated and what it actually perceives, the system must adjust. Scientists believe this ongoing, high-speed feedback loop is the central mechanism governing how we perceive our surroundings, make complex decisions, regulate our emotions, and navigate social behaviors.
The researchers behind the new study argue that while neuroscience is now verifying these processes at a physiological level, psychoanalysis has been observing the psychological manifestation of these processes for more than a century. As the authors note, "For over 130 years, psychoanalysis has developed psychological theories about how predictions take place at a subjective level, which cognitive neuropsychology is now studying at a physiological level."
Connecting Psychoanalysis to Predictive Modeling
The difficulty in synthesizing these two fields often stems from their different methods of inquiry. Neuroscience relies on objective measurement, physical mechanisms, and mathematical modeling to explain how information flows through neural pathways. Psychoanalysis, rooted in the legacy of Freud, focuses on the unconscious, the lingering influence of past relationships, and the deep emotional currents that shape human identity.
However, the authors of the new study suggest that these differences are not necessarily contradictory; rather, they represent two ways of looking at the same phenomena. One field explores the hardware of thought, while the other interprets the user interface.
A compelling point of convergence identified by the researchers is the psychoanalytic concept of "projection" and the neuroscientific concept of "prediction." In clinical practice, projection refers to the process by which an individual attributes their own feelings, desires, or internal anxieties to another person. The study suggests that this is essentially a form of biased prediction. When a person projects, their brain is interpreting the external world through the lens of established expectations.
Erik Stännicke explains, "When we attribute qualities, intentions or feelings to other people, our brain shapes our experience of the world in line with established expectations." This is not necessarily a conscious choice. For example, an individual who has suffered a history of rejection may become hyper-vigilant. Their brain, operating on a predictive model derived from past trauma, may interpret an ambiguous facial expression or a neutral comment from a colleague as a sign of hostility. Because the brain is wired to reduce uncertainty, it prioritizes existing models—even if those models are painful—over the ambiguity of new, potentially safer information.
This process highlights the distinction in neuroscience between "perceptual inference" and "active inference." Perceptual inference involves the brain updating its internal model based on sensory data. Active inference, conversely, involves the individual taking physical or behavioral actions to make the world conform to their existing expectations. Together, these processes explain why humans often fail to perceive the world objectively, instead filtering reality through the distorted lens of past experience.
The Persistence of Negative Patterns
Why does the brain persist in holding onto inaccurate or harmful expectations, even when they result in suffering? The researchers point to the principle of homeostasis—the drive of any biological system to maintain a stable, predictable internal state. In the context of the predictive brain, stability is often prioritized over accuracy.
By relying on familiar, albeit inaccurate, expectations, the brain reduces the cognitive load of uncertainty. Even if a prediction model is fundamentally "wrong"—such as an internalized belief that one is inherently unlovable or that others are inevitably hostile—it provides a structure that makes the world feel predictable. This, the researchers argue, is why people often repeat dysfunctional patterns in their relationships.
"Psychoanalysts refer to the tendency in the mind to recreate familiar relational patterns, even when these are poorly adapted," Stännicke notes. This sheds light on why clinical symptoms such as paranoid ideation or a harsh, internalized critical voice are so notoriously difficult to treat. These symptoms represent stable, albeit rigid, prediction models. For a person who expects to be criticized, interpreting every interaction as a critique allows them to feel "in control" of the predictability of their social environment, even if that environment is emotionally damaging. Because this model feels familiar, changing it—even for the better—can feel more uncertain and daunting than maintaining the status quo. This helps explain the long, often arduous timeline required for deep-seated psychological change.
The Role of Procedural Memory in Psychotherapy
One of the most significant insights provided by the research is the distinction between intellectual understanding and procedural learning. Much of what governs our behavior is not held in conscious, declarative memory but in procedural memory—the type of long-term memory responsible for habits and motor skills. Just as we learn to ride a bicycle or tie our shoes without needing to consciously analyze the physics involved, we learn "relational skills" that dictate how we interact with others.
"Both models give us insight into how parts of our expectations of the outside world are not only anchored cognitively, but in procedural memory that is expressed in relational ways of being," the researchers explain. This clarifies a common frustration in psychotherapy: a patient may intellectually realize that their partner is supportive and kind, yet they may still react with defensive, fearful, or hostile behaviors derived from past traumas.
Because these expectations are embedded in procedural memory, they cannot be "thought away" through reason alone. This is where the relational aspect of therapy becomes essential. By providing a safe, consistent environment, the therapist allows the patient to engage in a series of new, corrective experiences. Over time, these repeated, positive interactions can help rewrite the brain’s predictive models, allowing the patient to develop more adaptive ways of relating to others.
Toward a Holistic Psychology
The integration of psychoanalysis and modern predictive brain theory offers a promising path forward for both disciplines. Neuroscience stands to gain a richer, more nuanced understanding of the subjective experience, while psychoanalysis gains a biological framework that helps demystify the mechanisms behind its clinical observations.
The researchers emphasize that this is not an attempt to declare Freud’s entire body of work objectively "correct," but rather to recognize that two long-standing traditions have been describing the same fundamental challenges of the human condition. By examining the physical mechanisms of the brain alongside the lived experience of the individual, the researchers advocate for a more holistic approach to psychology. As Stännicke concludes, "Bringing these two fields together can open up for a more holistic psychology, in which both neurological mechanisms and subjective experience are included. In this way, we can understand subjectivity in a more scientific manner." This bridge between the laboratory and the couch may well prove to be one of the most important developments in modern mental health research.
