12 papers · ranked by Valyu relevance
Alexander D. Shaw, Rachael L. Sumner, Lioba C. S. Berndt
Predictive coding offers a powerful computational framework for understanding brain function and psychiatric disorders at a mechanistic level. This perspective synthesizes advances in computational psychiatry, proposing that mental disorders can be conceptualized as specific alterations in the brain’s predictive…
Albandri Sultan Alotaibi
Predictive coding (PC) has become a central framework in contemporary cognitive neuroscience, proposing that the brain operates as a hierarchical inference system that continuously minimizes the mismatch between predicted and actual sensory input. Its extension into clinical neuroscience has been accompanied by…
Romesa Khan, Hongsheng Zhong, Shuvam Das, Jack Cai + 2 more
Seminal frameworks of predictive coding propose a hierarchy of generative modules, each attempting to infer the neural representation of the module one level below; the predictions are carried by top-down feedback projections, while the predictive error is propagated by reciprocal forward pathways. Such symmetric…
Urte Roeber, Robert P. O'Shea
Predictive coding is a theory that each hierarchical level of the nervous system constructs a model from bottom-up information (such as sensory inputs) and from top-down information (such as expectations and reliability of past information) and then tests new inputs against the model. If the new inputs match the model…
Nicolas Legrand, Lilian Weber, Peter Thestrup Waade, Anna Hedvig Møller Daugaard + 4 more
Bayesian models of cognition have gained considerable traction in computational neuroscience and psychiatry. Their scope is now expected to expand rapidly to artificial intelligence, providing general inference frameworks to support embodied, adaptable, and energy-efficient autonomous agents. A central theory in this…
A. B. Lao-Rodríguez, S. Cacciato-Salcedo, M. S. Malmierca
Predictive coding theory proposes that the brain continuously minimizes prediction errors through hierarchical inference. Increasing evidence, however, suggests that its explanatory power depends not only on prediction generation, but also on precision weighting, the process through which the brain estimates the…
Kuzma Strelnikov
Activity gradients measured with neuroimaging play a fundamental role in brain function, yet their relationship to the brain's internal predictive models during rest remains poorly understood. Clarifying this relationship can reveal how the brain processes information efficiently and adapts to a changing environment.…
Romain Brette
Anticipation is a hallmark of all living phenomena, from bacteria to humans. If I notice a cloudy sky, I may take an umbrella to avoid getting wet. In cyanobacteria, which are photosynthetic bacteria, the chromosome decompacts shortly before dawn thanks to circadian rhythms, so that gene expression is favored when it…
Shogo Ohmae, Keiko Ohmae
Title: Summary Recent advances in general-purpose AI provide new insights into how the neocortex and cerebellum, despite their uniform circuit architectures, support diverse functions and human intelligence. Beyond the traditional focus on visual processing, this paper offers a cross-domain comparison of the brain and…
Thomas Nortmann, Philip Sulewski, Tim C. Kietzmann
Title: Summary Despite moving our eyes from one location to another, our perception of the world is stable-an aspect thought to rely on predictive computations that use efference copies to predict the upcoming foveal input. Are these complex computations and required connectivity scaffolds genetically encoded, or could…
Hamed Nejat, Alexander Maier, Jesse Spencer-Smith, André M. Bastos
Fragmentation is common in interdisciplinary fields with diverse methods and theoretical commitments. Predictive coding neuroscience is a clear example: its literature spans computational theory, electrophysiology, imaging, behavior, and modeling, creating a synthesis problem that conventional meta-analysis cannot…
Yusuke Kuniyoshi, Tadashi Yamazaki
The hippocampus is thought to support spatial memory and navigation by constructing predictive representations of the environment. Predictive map theory formalizes this function as a successor representation (SR). However, existing models assume a fixed and uniform distribution of place fields, despite experimental…