Trends in Cognitive Sciences
April 22, 2016
Tim Bayne, Jakob Hohwy, Adrian M. Owen
443 citations
The concept of a level of consciousness is central to the science of consciousness, used to describe global states in post-comatose disorders, epileptic absence seizures, anesthesia, and sleep. However, what a level of consciousness actually means remains unclear. This paper argues that the levels-based framework for understanding global states of consciousness is untenable and instead proposes a multidimensional account of global states.
Philosophy and the Mind Sciences
December 30, 2020
Jakob Hohwy, Anil K. Seth
162 citations
The search for the neural correlates of consciousness needs a systematic, principled foundation to give putative correlates greater predictive and explanatory value. The predictive processing framework for brain function is proposed as a promising candidate because it addresses three general challenges to identifying neural correlates and satisfies two constraints common to many theories of consciousness. Implementing the search through this lens can yield detailed, systematic mappings between neural substrates and phenomenological structure. The framework, precisely because it is not itself a theory of consciousness, has significant potential for advancing the neuroscience of consciousness.
The Oxford Handbook of 4E Cognition
October 9, 2018
Jakob Hohwy
26 citations
Prediction is central to understanding perception and cognition, formalized in theoretical neuroscience as probabilistic inference. This framework unifies perception, action, attention, and learning as aspects of predictive processing in the brain. The chapter explains how predictive processing is inferential and representational, then explores its relation to enactive, embedded, embodied, and extended cognition (4E cognition). Although initially seeming too representational and inferential to fit 4E approaches, predictive processing actually encompasses many phenomena central to 4E cognition while remaining both inferential and representational.
Current research in neurobiology
January 1, 2022
Christopher J. Whyte, Jakob Hohwy, Ryan Smith
21 citations
Cognitive theories of consciousness link frontoparietal circuits to conscious access, but no-report paradigms challenge this by showing conscious accessibility without prefrontal cortex (PFC) activation. This paper presents a computational model based on active inference, treating working memory gating as a cognitive action. Simulating a visual masking task, the model shows that late P3b-like event-related potentials and increased PFC activity arise from the working memory demands of self-report generation. Removing reporting demands eliminates these late potentials and reduces PFC activity, reproducing no-report paradigm results. However, even without reporting, simulated PFC activity on visible trials still crosses the threshold for reportability, maintaining the link between PFC and conscious access. Thus, no-report paradigm evidence does not necessarily contradict cognitive theories.
Translational psychiatry
September 30, 2024
Elizabeth L Fisher, Ryan Smith, Kyna Conn et al.
14 citations
Psilocybin treatment in rats performing a reversal learning task led to more rewards through increased task engagement, driven by changes in forgetting rates and reduced loss aversion. Computational modeling suggests psilocybin may induce an optimism bias by altering how beliefs are updated, which could have implications for clinical conditions marked by pessimism.
Trends in cognitive sciences
October 1, 2023
Kevin Berryman, Sara W Lazar, Jakob Hohwy
11 citations
Mindfulness meditation has both positive and negative effects on moral functioning, distributed across multiple dimensions of moral cognition and behavior. A multifactor construct that assesses outcomes across several aspects of morality reveals that contemplative practices do not uniformly improve morality; instead, they produce a mix of beneficial and detrimental influences on different moral actions. The study provides an empirically rigorous investigation into the impact of mindfulness on morality, showing that the effects are complex and not captured by unidimensional measures.
Neuroscience of consciousness
January 1, 2025
Lars Sandved-Smith, Juan Diego Bogotá, Jakob Hohwy et al.
10 citations
A computational formalism called deep parametric active inference, rooted in Bayesian mechanics, can bridge first-person phenomenological accounts of experience and third-person physiological measurements, fulfilling the neurophenomenology programme's goal of mutual constraints. The dual information geometry of Bayesian mechanics allows generative passage between lived experience and its neural instantiation under certain conditions. This paper argues that incorporating trained reflective awareness into empirical protocols yields incremental explanatory gains, shifting focus from the contents of experience to the how of experience—the activities of consciousness that constitute meaningful appearance. The resulting deep computational neurophenomenology gains explanatory power from disciplined circulation between perspectives, enabled by generative models that form beliefs about their own modelling parameters.
Lars Sandved-Smith, Juan Diego Bogotá, Jakob Hohwy et al.
7 citations
preprint
This paper extends the neurophenomenology program by using Bayesian mechanics, specifically deep parametric active inference, to show how first-person accounts of experience and third-person physiological data can mutually constrain each other. The dual information geometry of Bayesian mechanics establishes generative passages between lived experience and its physiological instantiation under certain conditions. The authors argue that shifting focus from the contents of experience to the activities of consciousness—the 'how' of experience—yields incremental epistemic gains. The resulting framework, deep computational neurophenomenology, gains explanatory power from disciplined circulation between perspectives, enabled by generative models that form beliefs about their own modeling parameters. Trained reflective awareness is essential for this approach.
Physics of life reviews
March 1, 2026
Christopher J Whyte, Andrew W Corcoran, Jonathan Robinson et al.
5 citations
Subjective experience is multifaceted, making it hard for traditional neuroscientific theories of consciousness to be compared because each focuses on different aspects like perceptual awareness or global states. This work instead starts from active inference, a first-principles framework that models behavior as approximate Bayesian inference, and builds a minimal theory of consciousness from shared features of computational models derived under active inference. By reviewing studies that apply active inference models to consciousness, the authors identify a small set of theoretical commitments implicit in these models, pointing toward a minimal and testable theory of consciousness.
bioRxiv Preprint Server
July 7, 2022
Neil W Bailey, Harry Geddes, Isabella Zannettino et al.
5 citations
preprint
Experienced meditators exhibit distinct neural activity during performance monitoring and error-processing compared to non-meditators. Using a larger sample and more rigorous analyses than prior work, the study clarifies previously inconsistent findings, showing that long-term mindfulness practice is associated with altered brain responses when detecting and processing errors.
Annals of the New York Academy of Sciences
July 2, 2025
Neil W Bailey, Aron T Hill, Kate Godfrey et al.
4 citations
Mindfulness meditation, which trains attention on sensory experiences with nonjudgmental awareness, is thought to sharpen sensory processing and reduce top-down expectations. This study measured forward and backward traveling cortical alpha waves—proposed to reflect bottom-up inhibition and top-down inhibition, respectively—using electroencephalography in meditators and nonmeditators. During eyes-closed resting (97 participants) and a visual Go/No-go task (126 participants), meditators showed stronger forward traveling waves than nonmeditators in both conditions, and weaker backward traveling waves during rest. These neural differences may underlie enhanced attention and reduced mind-wandering associated with meditation, supporting models where mental training increases sensory awareness.
bioRxiv (Cold Spring Harbor Laboratory)
May 17, 2024
Elizabeth L. Fisher, Ryan Smith, Andrew W. Corcoran et al.
2 citations
preprint
Rats treated with psilocybin achieved more rewards in a decision-making task, driven by increased task engagement, altered forgetting rates, and reduced loss aversion. Computational modeling of the rats' behavior revealed that psilocybin may induce an optimism bias through changes in how beliefs are updated. This finding has potential relevance for clinical populations characterized by a lack of optimism, such as those with depression.
Artificial General Intelligence
January 1, 2026
Ruben E. Laukkonen, Fionn Inglis, Shamil Chandaria et al.
1 citation
Prompting AI to reflect on four contemplative principles—mindfulness, emptiness, non-duality, and boundless care—improves alignment and cooperation. On the AILuminate Benchmark, performance increased with a Cohen's d of .96, and on the Iterated Prisoner’s Dilemma task, cooperation and joint-reward improved with a Cohen's d greater than 7. The principles help AI self-monitor goals, avoid rigid attachment, dissolve adversarial boundaries, and reduce suffering universally. Active inference is proposed as a way to integrate these principles into AI architecture. This approach offers a resilient alternative to controlling superintelligence and provides an empirical test of ancient wisdom.
PLoS ONE
December 4, 2025
Jonathan Robinson, Andrew W. Corcoran, Christopher J. Whyte et al.
1 citation
Active inference, a framework for modeling how sentient agents behave, is being tested as necessary for changes in conscious content. In an adversarial collaboration, active inference will be contrasted with two other theories that do not require it for consciousness. This study protocol describes an adaptation of the motion-induced blindness paradigm: an active condition where participants direct their gaze toward a target after it disappears from consciousness and report its reappearance, versus a passive condition where participants fixate centrally while the stimulus array moves in a replay of active eye-tracking data. Two experiments will compare target reappearance across conditions to evaluate active inference's contribution to conscious awareness.
Philip Gerrans, Hugh Mgovern, Jakob Hohwy et al.
1 citation
preprint
Complex post-traumatic stress disorder (C-PTSD) involves additional symptoms beyond those of PTSD, including emotional instability, negative self-concept, and interpersonal difficulties, often from prolonged trauma like childhood maltreatment or domestic violence. A novel model based on active inference and self-modelling explains these differences and identifies the insula's role in affective regulation. The model suggests that MDMA-assisted therapy may help recalibrate emotional regulation and strengthen self-model, offering a potential treatment avenue. Theoretical and clinical implications are discussed, with emphasis on further empirical research.
European journal of psychotraumatology
December 1, 2026
Philip Gerrans, Hugh McGovern, Jakob Hohwy et al.
Complex post-traumatic stress disorder (C-PTSD) involves lasting difficulties with emotions, self-concept, and relationships, beyond typical PTSD symptoms. This review proposes a neurocognitive explanation based on predictive processing and self-modelling, focusing on how the brain's insula integrates bodily signals, emotions, and self-awareness. The authors suggest that C-PTSD arises from maladaptive predictions shaped by prolonged interpersonal trauma, leading to unstable self-regulation. They examine MDMA-assisted psychotherapy as one intervention that may temporarily alter emotional salience, trust, and self-related thinking. The framework generates testable hypotheses about self-modelling in C-PTSD and offers guidance for developing treatments that target affective regulation and self-referential processing.
Mindfulness
February 24, 2026
Larissa Bartlett, Rohan Puri, Amanda L. Neil et al.
A new 9-item scale, the Observed Mindful Behaviours (OMB), measures how attentive, aware, and accepting a person appears to someone who knows them. Based on data from 190 pairs of raters and targets, the scale shows good reliability and validity. Observed mindful behavior aligns moderately with self-reported trait mindfulness and interpersonal mindfulness, and correlates positively with empathy and psychological capital, and negatively with psychological inflexibility, distress, and anger reactivity. It does not relate to prosocial intentions. The OMB can complement self-report measures in mindfulness research.
arXiv Preprint Archive
October 9, 2024
Christopher J. Whyte, Andrew W. Corcoran, Jonathan Robinson et al.
Subjective experience is multifaceted, making consciousness hard to study because traditional theories often focus on isolated aspects like perception or wakefulness and are difficult to compare. This work starts from active inference—a first-principles framework that models behavior as approximate Bayesian inference—and builds toward a minimal theory of consciousness derived from shared features of computational models under active inference. Reviewing models applied to consciousness, the authors argue that these models imply a small set of theoretical commitments pointing to a minimal, testable theory of consciousness.