Skip to content
The ColumnReportage· No. 3362

The predictive brain rediscovers a 130-year-old hunch from Freud

There is something dizzying about watching twenty-first-century computational neuroscience catch up, almost word for word, with an intuition first formulated at the

Premium reading
MadMax
Key takeaways
  1. There is something dizzying about watching twenty-first-century computational neuroscience catch up, almost word for word, with an intuition first formulated at the
  2. Introduction: when modern science collides with a ghost from the past
  3. A theory that refuses to age
Transparency

Facts, quotes, and cited links remain in the body. Interpretations are framed as analysis or opinion according to the format.

Introduction: when modern science collides with a ghost from the past

A theory that refuses to age

There is something dizzying about watching twenty-first-century computational neuroscience catch up, almost word for word, with an intuition first formulated at the end of the 19th century by a Viennese doctor who had no brain scanner, no computer, not even an electroencephalogram. Sigmund Freud was already writing in 1895, in his Project for a Scientific Psychology, that the human mind functioned as a machine built to anticipate the world rather than simply record it. A century later, the dominant theory in neuroscience, the one built around the predictive brain, arrives at conclusions that are strikingly close.

A new scientific publication, circulated on July 1, 2026, puts this intellectual lineage back on the table. The researchers argue that predictive processing, the theoretical framework that now dominates our understanding of how the brain works, owes part of its conceptual genealogy to psychoanalytic ideas long dismissed as a historical curiosity rather than rigorous science.

Why this story deserves to be told

This is not a footnote for fans of the history of science. It is a story that speaks directly to anyone who has ever felt a gap between what they expected and what actually happened. The predictive brain theory holds that our brain does not merely react to outside stimuli: it constantly manufactures hypotheses, expectations, then adjusts its perception based on the gap between what it foresaw and what actually occurs.

This dynamic of prediction, error, and correction resembles, according to the authors, what Freud described with the vocabulary of his era: drives, psychic tension, energy discharge. The core idea stays the same: the mind is never passive, it is a system constantly trying to guess what comes next.

I am not a psychoanalyst and I instinctively distrust intellectual reclamation projects that come too easily, but there is a rare honesty in a team of researchers willing to say: our most modern ideas may have roots we assumed were dead.

The predictive brain, a theory that transformed neuroscience

A quiet but profound paradigm shift

For decades, the dominant view of the brain was that of an essentially reactive system: sensory organs capture information, send it to the brain, which processes it and produces a response. Predictive processing flipped that logic. Under this model, the brain first builds an internal model of the world, then continuously compares its predictions against the sensory signals it receives.

When the prediction matches reality, nothing dramatic happens. But when a prediction gap arises, meaning the world does not behave as expected, the brain has to adjust its internal model. It is this logic of constant correction that, according to the scientists behind the new publication, echoes the mechanisms Freud tried to describe with the conceptual tools available to him.

Researchers who dare to name the lineage

The published work draws on the research of Erik Stänicke, Bendik Hovet, and Line Indrevoll Stänicke, whose analysis, published in the scientific journalEntropy, offers a fresh reading of Freud's Project for a Scientific Psychology in light of current neuroscientific knowledge. That Freudian text, left largely unfinished and unpublished during his lifetime, already tried to ground psychology in biological and energetic foundations.

What these researchers stress is not that Freud was right about everything, far from it, but that some of his structural intuitions about how the psychic apparatus works surprisingly anticipated concepts that would become central a century later in computational neuroscience.

This kind of reappraisal takes a certain academic courage. In a scholarly world where citing Freud can still raise eyebrows, claiming an intentional conceptual continuity is a bet worth acknowledging.

Freud and psychoanalysis, a theory often caricatured

What the general public remembers, rightly or wrongly

For many people, Freud remains tied to concepts that got popularized and then often distorted: the Oedipus complex, dream interpretation, libido. Part of his legacy has been criticized, sometimes fairly, for lacking empirical rigor by today's scientific standards. But a lesser-known part of his work, more technical and closer to biology, was ignored for a long time.

The Project for a Scientific Psychology belongs to that category. In it, Freud attempts a neurological explanation of mental functioning, at a time when tools for brain imaging simply did not exist. He describes a nervous system striving to maintain an energy balance, anticipating stimuli in order to manage them better.

An intuition ahead of the tools of its time

It is precisely this dimension of Freud's work that the new scientific analysis brings into focus. Freud lacked the technical means to test his hypotheses, but the very structure of his reasoning, that of a system anticipating in order to survive, lines up with the logic of modern predictive coding.

The researchers insist on one point, though: this is not about rehabilitating the whole of psychoanalytic theory, but about recognizing that one precise intuition, born in a very different scientific context, deserved to be revisited with today's tools.

There is a lesson in scientific humility here: an idea judged outdated is not necessarily wrong, it sometimes simply waits for the technology to catch up with the hunch.

How the predictive brain actually works

A cascading system of hypotheses

In practice, the predictive brain functions as a hierarchy of models. Higher levels of the nervous system generate broad predictions about the world, which are then passed down to lower levels. Those lower levels compare the predictions against raw sensory signals and send back an error signal whenever the two fail to match.

That error signal then travels back up the hierarchy, forcing an update of the internal model. This process repeats endlessly, at a speed that entirely escapes our conscious awareness. Our perception of the world is therefore never a simple reflection of external reality: it is an active construction, shaped by our expectations.

Implications that reach beyond the lab

This theory carries real consequences for our understanding of psychiatric and neurological disorders. Researchers are already using it to try to explain certain symptoms of schizophrenia, autism, or anxiety disorders, viewed as breakdowns in how the brain weighs its predictions against actual sensory signals.

It is precisely this clinical reach that makes the link with Freud interesting: psychoanalysis always aimed to be a theory of disturbed psychic functioning, not merely a theory of the healthy brain.

What strikes me is the modesty of the field: no one here claims to hold a complete explanation of human consciousness. Progress comes through small, testable hypotheses, and that alone is a lesson in method.

A meeting between two scientific worlds long kept apart

Psychoanalysis and neuroscience, a history of mutual suspicion

For a long time, psychoanalysis and neuroscience developed as two nearly airtight disciplines. The first relied on clinical introspection and patient narratives, the second demanded measurable data, reproducible, often drawn from brain imaging or electrophysiology.

This split bred a kind of mutual distrust. Many neuroscientists viewed psychoanalysis as unfalsifiable, and therefore not scientific in the strict sense. Conversely, some psychoanalysts saw in neuroscience an excessive reduction of psychic complexity down to mere electrical circuits.

The gradual return of dialogue

Over the past twenty years or so, a movement called neuropsychoanalysis has tried to reconcile these two approaches, searching for conceptual bridges between Freudian clinical intuitions and the measurable data of modern neuroscience. The new publication on the predictive brain fits within that tradition, but with a sharper argument: this is not simply a loose analogy, it is a structural continuity between two theoretical frameworks.

This approach remains a minority position in the academic world, but it is gaining legitimacy as recognized scientific journals, such as Entropy, agree to publish this kind of interdisciplinary work.

I find it refreshing that a dialogue between two disciplines that snubbed each other for so long can resume, not out of ideology, but because the facts themselves seem to demand it.

What this actually changes for our understanding of the human mind

A new lens for reading emotions

If the brain really does function as a prediction machine, then our emotions themselves could be reinterpreted as signals tied to the success or failure of our internal predictions. Anxiety, for instance, might reflect the brain's persistent uncertainty in the face of an environment it judges unpredictable.

This reading connects, quite strikingly, with certain Freudian intuitions about angst as a signal of an anticipated danger rather than one that is actually present. The vocabulary changes, but the logical structure of the reasoning stays remarkably close.

Applications still to be worked out

It would nonetheless be premature to turn this theoretical convergence into an immediate therapeutic tool. The researchers themselves stress the need for caution: drawing a conceptual parallel is not the same as proving an identical biological mechanism. The comparison opens avenues for research, it does not settle any debate.

This methodological caution is, in fact, exactly what separates serious scientific reappraisal from a simple media-friendly reclamation of a controversial historical figure.

It is precisely this caution that reassures me: no serious scientist here claims Freud had it all figured out, only that he may have seen one specific point clearly, with the tools available to him at the time.

The weight of history in how this discovery is received

A discipline still marked by its past excesses

The scientific reputation of psychoanalysis has been badly damaged by decades of sometimes questionable uses of its concepts, particularly in clinical settings where unverifiable interpretations at times substituted for rigorous diagnoses. That history still weighs on how the academic world receives any attempt at a partial rehabilitation of Freud.

That is why the new publication takes care to precisely bound its claims: it is not about validating the entirety of Freud's body of work, but a specific, technical text, largely unknown to the general public, that anticipated a logic now central to neuroscience.

A necessary balancing act

The authors therefore have to navigate between two pitfalls: ignoring a real intellectual lineage out of fear of controversy, or overinterpreting a partial convergence to give it a scope it does not have. This balance explains the measured tone of the publication, which insists on the limits as much as on the points of convergence.

This rigor is precisely what distinguishes serious scientific work from an appealing but hollow communications exercise.

I appreciate not being sold a revolution. What I am offered is a solid line of thinking, grounded in a specific text, and that is more than enough to spark interest without tipping into exaggeration.

What science popularization should learn from this story

Avoiding easy sensationalism

It would have been tempting to run a headline claiming that Freud was right all along, or that modern science had finally proven psychoanalysis. That kind of shortcut, however viral, would betray the real nuance of the scientific work in question. Responsible popularization has to resist that temptation, even when the story is a good one.

The reality is more modest and, in a way, more interesting: a partial intuition, formulated in a scientific context now considered outdated, finds a structural echo in a modern, rigorously tested theoretical framework.

Restoring the place of the history of ideas

This story is also a reminder that cognitive sciences never emerge from an intellectual vacuum. Every new theory belongs to a genealogy of ideas, sometimes abandoned, sometimes forgotten, which resurface in transformed form once the scientific tools finally allow it.

Recognizing this continuity takes nothing away from the value of modern predictive processing. If anything, it enriches it with a historical depth too often overlooked in popular science communication.

As a columnist, I am wary of sensationalism just as much as I am of casually dismissing old ideas. The truth, here, lies in the nuance, and that is exactly where it deserves to be told.

The limits of comparing Freud to modern neuroscience

Fundamentally different methods

It would be wrong to treat Freud as some early practitioner of computational neuroscience. His method relied on clinical observation, introspection, and speculative theorizing, without the tools for objective measurement available to today's research. The comparison concerns a structural intuition, not an equivalent scientific method.

The authors of the new analysis insist on this distinction: Freud's merit is not that he used a scientific method rigorous by modern standards, but that he formulated a conceptual hypothesis which, a century later, finds an empiricallytestable extension.

What scientific caution requires us to acknowledge

This caution is not a mere rhetorical precaution. It reflects a genuine methodological requirement: a conceptual connection, however appealing, does not amount to proof. It opens a research avenue that will need to be tested, refined, and potentially disproven by future work.

It is this intellectual honesty that, paradoxically, gives the discovery more weight: it claims no more than it can actually demonstrate.

A theory that admits its own limits always inspires more confidence in me than one that claims to explain everything. That may be the most valuable lesson in this whole story.

Why this convergence matters beyond academic circles

A resonance with ordinary human experience

What makes this story accessible to the general public, beyond its technicality, is that it touches on a universal experience: the gap between expectation and reality. Everyone has felt the surprise, the disappointment, or the relief caused by an event that did not match what they had anticipated.

By giving a rigorous scientific framework to this intimate experience, the predictive brain offers a new way of understanding why some situations shake us more than others, regardless of their objective severity.

A bridge between science and everyday life

This may be the true strength of this convergence between Freud and modern neuroscience: it does not stay confined to laboratories, it speaks directly to everyone's lived experience. That accessibility explains why the publication quickly moved beyond the narrow circle of theoretical psychology specialists.

Without falling into the promise of some universal revelation, it is fair to recognize that this theory offers a shared language between rigorous science and ordinary human experience.

These rare moments where technical science meets everyday life are, in my view, exactly what justify the effort of popularization.

The role of the journal Entropy in spreading this research

A publishing space open to interdisciplinary work

The choice to publish this analysis in the journal Entropy, rather than in a traditional clinical psychology journal, is not incidental. This journal welcomes work at the intersection of theoretical physics, information theory, and cognitive science, particularly fertile ground for theories like predictive processing, which borrow heavily from the vocabulary of information theory.

This editorial choice reflects the hybrid nature of the subject: neither purely clinical nor purely computational, but sitting precisely at the border between these two worlds.

A gradual recognition within the scientific world

Publication in a recognized peer-reviewed journal is itself a form of validation of the methodological seriousness of the approach. It does not guarantee that every conclusion will withstand the test of time, but it signals that the scientific community deems the question legitimate enough to warrant rigorous examination.

That is an encouraging sign for anyone hoping to see psychoanalysis and neuroscience keep talking to each other, rather than ignoring one another as they did for much of the 20th century.

Seeing a serious scientific journal welcome this kind of work strikes me as a sign of intellectual good health, far more so than the dogmatic closing-off of certain academic debates.

The questions that remain open after this publication

What is left to demonstrate empirically

Despite the interest of this theoretical convergence, several questions remain without a definitive answer. How can we precisely measure, at the neuronal level, the prediction-error signals the theory postulates? Can a direct, measurable link be established between these mechanisms and the Freudian concepts of angst or drive, or is this simply a conceptual analogy that will never translate into a strict biological equivalence?

These questions in no way diminish the interest of the approach, they simply mark out its current boundaries. Science rarely advances through definitive certainties, but through hypotheses refined across successive rounds of work.

Toward new interdisciplinary collaborations

This publication could encourage further collaboration between specialists in predictive processing and researchers in the history of psychiatry or contemporary psychoanalysis. A renewed dialogue that, if kept rigorous, could enrich both disciplines rather than pit them artificially against each other.

It is with this spirit of cautious openness, rather than ideological reclamation, that the real significance of this discovery will need to be evaluated in the months and years ahead.

I much prefer a science that raises new questions to a science that claims to have every answer. This publication clearly belongs to the former category.

What this story reveals about how scientific ideas evolve

Nothing truly dies in science, everything transforms

The story of Freud's Project for a Scientific Psychology illustrates a reality often overlooked: an idea deemed outdated, or insufficiently proven in its time, can resurface in a radically different form, validated by tools its original authors could never have imagined.

This phenomenon is not unique to psychology. The history of science is full of examples where old intuitions, set aside for lack of sufficient evidence, eventually found partial confirmation thanks to later technological advances.

An invitation to curiosity rather than dogmatism

Ultimately, this story invites a form of collective scientific humility: not to bury an idea too quickly simply because it cannot be verified with the tools available at a given moment. The predictive brain and Freudian psychoanalysis each tell, in their own way, the same quest: understanding how a human mind anticipates the world in order to survive it.

It is this shared quest, more than any strict lineage, that gives this story its full depth.

If there is one lesson to take from this improbable convergence between Vienna in 1895 and the neuroscience labs of 2026, it is that intellectual curiosity should never come with an expiration date.

What clinicians might draw from this convergence going forward

A lens for rethinking certain symptoms

Some clinicians specializing in psychiatry and clinical psychology are already watching this convergence between the predictive brain and Freudian intuitions with interest. If anxiety or certain obsessive symptoms can be understood as persistent prediction errors, this potentially opens new avenues for therapeutic approaches, without replacing existing treatments whose effectiveness is already established.

This hypothesis remains, at this stage, largely theoretical. No clinical trial has yet validated a therapy explicitly built on this synthesis between predictive processing and psychoanalytic concepts, and it would be irresponsible to suggest otherwise.

A largely unexplored research frontier

The authors themselves call for caution: research into these links between computational neuroscience and clinical psychoanalysis is still in its infancy. It will take years of additional work, with rigorous, reproducible protocols, before any conclusions applicable to everyday clinical practice can be drawn.

This caution takes nothing away from the scientific interest of the approach, it simply underscores the distance separating an appealing theoretical hypothesis from a validated clinical application.

I would rather be told clearly that a therapeutic avenue remains hypothetical than be sold premature hope. That is exactly the attitude this body of scientific work adopts, and it deserves credit for it.

Conclusion: a cautious reconciliation between two centuries of thought

What this discovery actually changes

This new publication does not overturn the foundations of predictive processing, nor does it fully rehabilitate Freud's body of work. It proposes something more modest and, in my view, more valuable: recognizing that an old intuition, born in a scientific context lacking today's tools, deserved to be reread with today's knowledge.

This recognition closes no debate, it opens a new one, more rigorous, better documented, and above all more respectful of the methodological limits specific to each scientific era.

An invitation to revisit the past without nostalgia or contempt

In the end, this story reminds us that science rarely advances in a straight line. It moves through returns, rereadings, sometimes unexpected rediscoveries. Freud had not solved the mystery of how the brain works, but he had asked a question whose relevance clearly spans more than a century of scientific evolution.

That may be the real lesson of this story: scientific curiosity only has value if it is willing to revisit, without arrogance or contempt, the ideas that time had temporarily set aside.

If I had to sum up this story in one sentence, it would be this: science never truly buries a good question, it simply waits until it has the right tools to answer it.

By Maxime Marquette, columnist

Columnist's transparency note

Who I am and how I work

I am neither a trained neuroscientist nor a psychoanalyst. I am a columnist who works to make real scientific research accessible by relying on verifiable publications, never inventing a quote, a testimony, or a source. On a subject as technical as predictive processing and its relationship to Freudian psychoanalysis, I own a degree of humility: I am relaying a published scientific interpretation, not settling a debate that belongs to specialists in the field.

My acknowledged bias is a genuine curiosity for interdisciplinary convergences, but I refuse to turn a cautious scientific hypothesis into an absolute certainty. If a specialist reader spots an oversimplification, I consider that criticism legitimate and welcome.

What I don't know, and the method I followed

I cannot guarantee that this convergence between Freud and modern neuroscience will withstand the test of future research. I am reporting the current state of a specific scientific publication, without extrapolating beyond what it actually claims. This piece relies exclusively on verifiable sources, listed below, consulted and cross-checked before publication.

No information in this text comes from a private conversation, an anonymous contact, or an invented personal experience. Everything rests on publicly accessible publications.

Sources

Primary sources

ScienceDaily, Health & Medicine section, science news — July 1, 2026

ScienceDaily, Mind & Brain section, neuroscience news — July 1, 2026

Secondary sources

Medical Xpress, health science news — July 2026

News-Medical, Neurology section — July 2026

EurekAlert, health and science news — July 2026

Nature, Neuroscience section — July 2026

Get the tech columns

AI, platforms, digital power: the next analyses straight to your inbox.

Cite this article

Maxime Marquette (2026). The predictive brain rediscovers a 130-year-old hunch from Freud. MadMax. https://mad-max.co/en/article/le-cerveau-predictif-redecouvre-une-intuition-vieille-de-130-ans-signee-freud

How does this piece make you feel?
MM
Maxime Marquette
Independent columnist

Maxime Marquette writes most of the analyses and columns published on MadMax — geopolitics, technology, and current events, no filler.

The Newsletter

Enjoyed this piece? Get the next one.

One chronicle a week, straight to your inbox. No noise.

Comments

0 / 2000

Be the first to weigh in.

This article was generated with AI assistance, under human supervision.

Reportage3697 words18 min read