For more than 130 years, the legacy of Sigmund Freud has occupied a complex space in the history of science. While his pioneering work in psychoanalysis laid the groundwork for modern talk therapy and our understanding of the unconscious, his theories have often been dismissed by the hard sciences as overly subjective or lacking in empirical rigor. However, a new scientific analysis published in the journal Entropy suggests that the divide between the couch and the laboratory may be narrower than previously assumed. Researchers are now finding that Freud’s century-old insights into human behavior share remarkable, surprising parallels with the "prediction paradigm," one of the most influential and robust theories in contemporary neuroscience.
The study, authored by researchers Erik Stännicke, Bendik Hovet, and Line Indrevoll Stännicke, alongside their colleagues, bridges the gap between classic psychoanalytic thought and modern brain imaging. By examining the mechanics of the "predictive brain," the researchers argue that the subjective observations documented by Freud and his successors are, in fact, early descriptions of physiological processes that neuroscientists are only now beginning to map with precision.
The Brain as a Prediction Machine
At the heart of this intersection is the "predictive processing" model. Modern neuroscience has largely moved away from the idea of the brain as a passive receiver of sensory data. Instead, it is increasingly viewed as a proactive "prediction machine." In this view, the brain does not simply sit back and wait for the world to deliver information. Rather, it is in a constant state of anticipation, using prior experiences and internal models to forecast what will happen next.
This ongoing cycle of anticipation and verification is critical to survival. The brain continuously compares its internal predictions against the sensory signals flowing in from the outside world. When there is a mismatch—a "prediction error"—the brain must either update its internal model to account for the new data or take action to change the environment to better align with its original prediction. Scientists believe this continuous, high-speed adjustment is the mechanism underlying how we perceive our surroundings, navigate complex social landscapes, make critical decisions, and regulate our internal emotional states.
The research team behind the Entropy paper suggests that while neuroscience focuses on the physical, computational mechanisms of this process, psychoanalysis has been describing the subjective experience of these same mechanisms for over a century. "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," the authors note.
Bridging the Gap: Projection and Inference
While the two fields use different vocabularies, they may be describing two sides of the same coin. Neuroscience approaches the mind through the lens of physical mechanisms and mathematical modeling, seeking to explain the "how" of thought. Psychoanalysis, by contrast, focuses on the "why"—the unconscious mental processes, the weight of past relationships, and the deep-seated emotional currents that color our present behavior.
One of the most striking parallels identified by the researchers involves the psychoanalytic concept of "projection" and the neuroscientific concept of "prediction." In clinical practice, projection is the process by which an individual attributes their own feelings, intentions, or inner qualities to another person. In the language of predictive neuroscience, this looks suspiciously like the brain’s tendency to interpret new, ambiguous stimuli through the lens of established, learned expectations.
As Erik Stännicke explains, when we project qualities or intentions onto others, we are essentially forcing our experience of the world to conform to our existing internal models. If a person has a history of rejection, their brain may become hyper-sensitive to signs of social dismissal. An ambiguous facial expression or a neutral remark from a colleague might be immediately interpreted as a slight. The brain is not reading the situation objectively; it is reading it through a filter of past trauma, using those past experiences to "predict" that rejection is coming, regardless of the objective reality of the moment.
This process highlights the neuroscientific distinction between "perceptual inference" and "active inference." Perceptual inference is the brain’s attempt to update its internal model to better match reality. Active inference, however, is more stubborn: it involves the individual taking actions—consciously or unconsciously—that bring the world into alignment with their existing predictions. Together, these two concepts explain why human perception is rarely an objective recording of reality, but rather a subjective construction shaped by what we expect to find.
The Persistence of Negative Patterns
Perhaps the most compelling aspect of this intersection is its potential to explain the persistence of mental health disorders. Why do people often repeat harmful relational patterns, or hold onto negative self-concepts, even when they are clearly detrimental?
The researchers argue that this tendency is rooted in the brain’s fundamental need for stability—a biological drive known as homeostasis. In the predictive brain model, the goal is to reduce uncertainty. The brain relies on familiar models to make the world navigable, and it will often prioritize the comfort of a familiar, albeit inaccurate, model over the uncertainty of a new, more accurate one.
"Psychoanalysts refer to the tendency in the mind to recreate familiar relational patterns, even when these are poorly adapted," Stännicke points out. This phenomenon explains why individuals may gravitate toward partners who mirror the dynamics of their past, or why someone might interpret neutral feedback as a devastating critique. These patterns become "stable but not very flexible" models. They may be harmful, but they are predictable, and for the brain, predictability is often the primary metric of safety.
This framework suggests that symptoms like internalized critical voices or persistent paranoia may be the result of a brain that has become "locked in" to a rigid predictive model. Because these models make experiences feel familiar, they become deeply entrenched. Changing them requires more than just a realization; it requires the brain to undergo a difficult process of updating models that have been reinforced over years, or even decades.
Therapeutic Change and Procedural Memory
The research also addresses why intellectual insight—knowing something is wrong—is often insufficient to change behavior. The authors distinguish between conscious, cognitive beliefs and what they term "procedural memory." Procedural memory is the repository of habits and skills, allowing us to perform complex actions without active thought.
In the realm of relationships, we often develop "procedural" ways of interacting. A person may intellectually understand that they are worthy of respect, yet, when placed in a position of vulnerability, they may instinctively retreat or act in ways that invite the very rejection they fear. These are not merely thoughts that can be corrected; they are ingrained patterns of being.
This is where the relational aspect of psychotherapy becomes essential. By working within the therapist-patient relationship, the patient can have new, corrective experiences that do not conform to their old, maladaptive predictions. Through the repeated, safe experience of a different kind of interaction, the patient can slowly update their internal models. It is a slow, structural shift, which explains why deep-seated psychological change is rarely instantaneous.
A Holistic Future for Psychology
The synthesis proposed by Stännicke and his colleagues does not aim to validate every aspect of Freud’s original, often controversial, theories. Instead, it offers a constructive path forward for the study of the mind. By using the biological framework of neuroscience to ground the subjective, emotional observations of psychoanalysis, researchers can begin to build a more comprehensive and holistic psychology.
The goal is to bridge the gap between the internal, lived experience of the individual and the biological hardware of the brain. By understanding how these two levels interact, science may finally be able to demystify some of the most persistent aspects of human behavior and mental health. As the authors suggest, this integrated approach could lead to a future where subjectivity is understood with the rigor of science, and where the complexities of the human experience are respected, rather than dismissed, by the lens of modern research.
