18 papers · ranked by Valyu relevance
Herbert W. Harris
This paper explores the intersection of phenomenology and neuroscience to address foundational questions about consciousness, particularly the nature of qualia-subjective, ineffable contents of experience. Drawing on Thomas Nagel’s seminal inquiry into subjective experience and Husserlian phenomenology, we propose that…
Alexander Tscshantz, Beren Millidge, Anil K. Seth, Christopher L. Buckley + 1 more
'Christopher L. Buckley' 'Ulrik R. Beierholm'] Predictive coding is an influential model of cortical neural activity. It proposes that perceptual beliefs are furnished by sequentially minimising “prediction errors”-the differences between predicted and observed data. Implicit in this proposal is the idea that…
Abdullahi Ali, Nasir Ahmad, Elgar de Groot, Marcel Antonius Johannes van Gerven + 1 more
'Marcel Antonius Johannes van Gerven' 'Tim Christian Kietzmann'] Title: Summary Predictive coding is a promising framework for understanding brain function. It postulates that the brain continuously inhibits predictable sensory input, ensuring preferential processing of surprising elements. A central aspect of this…
Peter F. Liddle, Elizabeth B. Liddle
Current diagnostic criteria for schizophrenia place emphasis on delusions and hallucinations, whereas the classical descriptions of schizophrenia by Kraepelin and Bleuler emphasized disorganization and impoverishment of mental activity. Despite the availability of antipsychotic medication for treating delusions and…
Richard Antonello, Alexander Huth
Many recent studies have shown that representations drawn from neural network language models are extremely effective at predicting brain responses to natural language. But why do these models work so well? One proposed explanation is that language models and brains are similar because they have the same objective: to…
Beren Millidge, Mufeng Tang, Mahyar Osanlouy, Nicol S. Harper + 2 more
'Rafal Bogacz' 'Peter E. Latham'] One of the key problems the brain faces is inferring the state of the world from a sequence of dynamically changing stimuli, and it is not yet clear how the sensory system achieves this task. A well-established computational framework for describing perceptual processes in the brain is…
Anirban Dutta, Koichi Hiraoka
Background: The sense of agency (SoA)-the subjective experience of controlling one’s own actions and their consequences-is a fundamental aspect of human cognition, volition, and motor control. Understanding how the SoA arises and is disrupted in neuropsychiatric disorders has significant implications for human-machine…
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…
Byron H. Price, Jeffrey P. Gavornik
While it is universally accepted that the brain makes predictions, there is little agreement about how this is accomplished and under which conditions. Accurate prediction requires neural circuits to learn and store spatiotemporal patterns observed in the natural environment, but it is not obvious how such information…
Zenas C. Chao, Yiyuan Teresa Huang, Chien-Te Wu
The human brain is proposed to harbor a hierarchical predictive coding neuronal network underlying perception, cognition, and action. In support of this theory, feedforward signals for prediction error have been reported. However, the identification of feedback prediction signals has been elusive due to their causal…
Zhe Sage Chen
Predictive coding is a computational theory on describing how the brain perceives and acts, which has been widely adopted in sensory processing and motor control. Nociceptive and pain processing involves a large and distributed network of circuits. However, it is still unknown whether this distributed network is…
Anne-Lise Marais, Nadege Roche-Labarbe
Sensory prediction and repetition suppression are closely related cognitive mechanisms that allow the brain to form predictions about the environment, and guide perception in synergy with attention. Predictive coding is a theory of the fundamental role of predictive mechanisms in brain functions. Authors have proposed…
Antonio Mastrogiorgio
Predictive brain theory challenges the general assumption of a brain extracting knowledge from sensations and considers the brain as an organ of inference, actively constructing explanations about reality beyond its sensory evidence. Predictive brain has been formalized through Bayesian updating, where top-down…
Leonardo Bonetti, Gemma Fernández‐Rubio, Mathias H. Andersen, Chiara Malvaso + 5 more
Whole-brain network dynamics are yet to be fully understood, particularly in the context of auditory memory and predictive coding. BROAD-NESS (BROADband brain Network Estimation via Source Separation), a novel pipeline for extracting broadband whole-brain networks from source-reconstructed MEG data is introduced.…
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…
Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos + 4 more
'André Moraes Bastos' 'Michael Lindner' 'Viola Priesemann' 'Michael Wibral' 'Fleur Zeldenrust'] Studies investigating neural information processing often implicitly ask both, which processing strategy out of several alternatives is used and how this strategy is implemented in neural dynamics. A prime example are…
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…
Ross Pain, Stephen Francis Mann
We propose a pluralist account of content for predictive processing systems. Our pluralism combines Millikan’s teleosemantics with existing structural resemblance accounts. The paper has two goals. First, we outline how a teleosemantic treatment of signal passing in predictive processing systems would work, and how it…