{"title":"Probabilistic processing: Possible, probable, or preposterous? A dialectical essay","authors":"Leyla Loued-Khenissi , David Pascucci","doi":"10.1016/j.newideapsych.2025.101212","DOIUrl":null,"url":null,"abstract":"<div><div>Does the brain operate probabilistically, or are probabilistic models merely useful tools for approximating brain function? This dialectical essay addresses this foundational question by presenting two opposing viewpoints. The <em>Thesis</em> defends the view that the brain engages in genuine probabilistic inference, drawing on empirical findings from studies of predictive coding in perception and cognition. The <em>Antithesis</em> challenges this view, arguing that the question is ill-posed and warns against conflating abstract computational principles with the intractable complexity of neural processes. In the <em>Synthesis</em>, the authors identify areas of conceptual overlap, highlight persistent theoretical tensions, and emphasize that the central issue is not whether the brain encodes full probability distributions, but how it supports the computations formalized by probabilistic models. This exchange aims to sharpen the terms of the debate and provide a more nuanced perspective on the promise and limits of probabilistic approaches in neuroscience.</div></div>","PeriodicalId":51556,"journal":{"name":"New Ideas in Psychology","volume":"80 ","pages":"Article 101212"},"PeriodicalIF":2.9000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Ideas in Psychology","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0732118X25000686","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Does the brain operate probabilistically, or are probabilistic models merely useful tools for approximating brain function? This dialectical essay addresses this foundational question by presenting two opposing viewpoints. The Thesis defends the view that the brain engages in genuine probabilistic inference, drawing on empirical findings from studies of predictive coding in perception and cognition. The Antithesis challenges this view, arguing that the question is ill-posed and warns against conflating abstract computational principles with the intractable complexity of neural processes. In the Synthesis, the authors identify areas of conceptual overlap, highlight persistent theoretical tensions, and emphasize that the central issue is not whether the brain encodes full probability distributions, but how it supports the computations formalized by probabilistic models. This exchange aims to sharpen the terms of the debate and provide a more nuanced perspective on the promise and limits of probabilistic approaches in neuroscience.
期刊介绍:
New Ideas in Psychology is a journal for theoretical psychology in its broadest sense. We are looking for new and seminal ideas, from within Psychology and from other fields that have something to bring to Psychology. We welcome presentations and criticisms of theory, of background metaphysics, and of fundamental issues of method, both empirical and conceptual. We put special emphasis on the need for informed discussion of psychological theories to be interdisciplinary. Empirical papers are accepted at New Ideas in Psychology, but only as long as they focus on conceptual issues and are theoretically creative. We are also open to comments or debate, interviews, and book reviews.