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https://www.readbyqxmd.com/read/29343629/the-markov-blankets-of-life-autonomy-active-inference-and-the-free-energy-principle
#1
REVIEW
Michael Kirchhoff, Thomas Parr, Ensor Palacios, Karl Friston, Julian Kiverstein
This work addresses the autonomous organization of biological systems. It does so by considering the boundaries of biological systems, from individual cells to Home sapiens, in terms of the presence of Markov blankets under the active inference scheme-a corollary of the free energy principle. A Markov blanket defines the boundaries of a system in a statistical sense. Here we consider how a collective of Markov blankets can self-assemble into a global system that itself has a Markov blanket; thereby providing an illustration of how autonomous systems can be understood as having layers of nested and self-sustaining boundaries...
January 2018: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/29331491/investigating-the-relationship-between-cardiac-interoception-and-autonomic-cardiac-control-using-a-predictive-coding-framework
#2
Andrew P Owens, Karl J Friston, David A Low, Christopher J Mathias, Hugo D Critchley
Predictive coding models, such as the 'free-energy principle' (FEP), have recently been discussed in relation to how interoceptive (afferent visceral feedback) signals update predictions about the state of the body, thereby driving autonomic mediation of homeostasis. This study appealed to 'interoceptive inference', under the FEP, to seek new insights into autonomic (dys)function and brain-body integration by examining the relationship between cardiac interoception and autonomic cardiac control in healthy controls and patients with forms of orthostatic intolerance (OI); to (i) seek empirical support for interoceptive inference and (ii) delineate if this relationship was sensitive to increased interoceptive prediction error in OI patients during head-up tilt (HUT)/symptom provocation...
January 9, 2018: Autonomic Neuroscience: Basic & Clinical
https://www.readbyqxmd.com/read/29331218/knowing-when-to-stop-aberrant-precision-and-evidence-accumulation-in-schizophrenia
#3
Roberto Limongi, Bartosz Bohaterewicz, Magdalena Nowicka, Aleksandra Plewka, Karl J Friston
Predictive coding and active inference formulations of the dysconnection hypothesis suggest that subjects with schizophrenia (SZ) hold unduly precise prior beliefs to compensate for a failure of sensory attenuation. This implies that SZ subjects should both initiate responses prematurely during evidence-accumulation tasks and fail to inhibit their responses at long stop-signal delays. SZ and healthy control subjects were asked to report the timing of billiards-ball collisions and were occasionally required to withhold their responses...
January 10, 2018: Schizophrenia Research
https://www.readbyqxmd.com/read/29329942/variational-neuroethology-answering-further-questions-reply-to-comments-on-answering-schr%C3%A3-dinger-s-question-a-free-energy-formulation
#4
Maxwell J D Ramstead, Paul B Badcock, Karl J Friston
No abstract text is available yet for this article.
January 8, 2018: Physics of Life Reviews
https://www.readbyqxmd.com/read/29307787/the-free-energy-principle-and-autopoiesis-comment-on-answering-schr%C3%A3-dinger-s-question-a-free-energy-formulation-by-maxwell-james-d%C3%A3-sormeau-ramstead-paul-benjamin-badcock-karl-john-friston
#5
https://www.readbyqxmd.com/read/29304087/human-visual-exploration-reduces-uncertainty-about-the-sensed-world
#6
M Berk Mirza, Rick A Adams, Christoph Mathys, Karl J Friston
In previous papers, we introduced a normative scheme for scene construction and epistemic (visual) searches based upon active inference. This scheme provides a principled account of how people decide where to look, when categorising a visual scene based on its contents. In this paper, we use active inference to explain the visual searches of normal human subjects; enabling us to answer some key questions about visual foraging and salience attribution. First, we asked whether there is any evidence for 'epistemic foraging'; i...
2018: PloS One
https://www.readbyqxmd.com/read/29284140/effective-connectivity-during-working-memory-and-resting-states-a-dcm-study
#7
Kyesam Jung, Karl J Friston, Chongwon Pae, Hanseul Choi, Sungho Tak, Yoon Kyoung Choi, Bumhee Park, Chan-A Park, Chaejoon Cheong, Hae-Jeong Park
Although the relationship between resting-state functional connectivity and task-related activity has been addressed, the relationship between task and resting-state directed or effective connectivity - and its behavioral concomitants - remains elusive. We evaluated effective connectivity under an N-back working memory task in 24 participants using stochastic dynamic causal modelling (DCM) of 7 Tesla fMRI data. We repeated the analysis using resting-state data, from the same subjects, to model connectivity among the same brain regions engaged by the N-back task...
December 25, 2017: NeuroImage
https://www.readbyqxmd.com/read/29206225/task-relevance-modulates-the-behavioural-and-neural-effects-of-sensory-predictions
#8
Ryszard Auksztulewicz, Karl J Friston, Anna C Nobre
The brain is thought to generate internal predictions to optimize behaviour. However, it is unclear whether predictions signalling is an automatic brain function or depends on task demands. Here, we manipulated the spatial/temporal predictability of visual targets, and the relevance of spatial/temporal information provided by auditory cues. We used magnetoencephalography (MEG) to measure participants' brain activity during task performance. Task relevance modulated the influence of predictions on behaviour: spatial/temporal predictability improved spatial/temporal discrimination accuracy, but not vice versa...
December 4, 2017: PLoS Biology
https://www.readbyqxmd.com/read/29190328/the-computational-anatomy-of-visual-neglect
#9
Thomas Parr, Karl J Friston
Visual neglect is a debilitating neuropsychological phenomenon that has many clinical implications and-in cognitive neuroscience-offers an important lesion deficit model. In this article, we describe a computational model of visual neglect based upon active inference. Our objective is to establish a computational and neurophysiological process theory that can be used to disambiguate among the various causes of this important syndrome; namely, a computational neuropsychology of visual neglect. We introduce a Bayes optimal model based upon Markov decision processes that reproduces the visual searches induced by the line cancellation task (used to characterize visual neglect at the bedside)...
November 28, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/29167370/uncertainty-epistemics-and-active-inference
#10
Thomas Parr, Karl J Friston
Biological systems-like ourselves-are constantly faced with uncertainty. Despite noisy sensory data, and volatile environments, creatures appear to actively maintain their integrity. To account for this remarkable ability to make optimal decisions in the face of a capricious world, we propose a generative model that represents the beliefs an agent might possess about their own uncertainty. By simulating a noisy and volatile environment, we demonstrate how uncertainty influences optimal epistemic (visual) foraging...
November 2017: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/29161362/the-hierarchical-organization-of-the-default-dorsal-attention-and-salience-networks-in-adolescents-and-young-adults
#11
Yuan Zhou, Karl J Friston, Peter Zeidman, Jie Chen, Shu Li, Adeel Razi
An important characteristic of spontaneous brain activity is the anticorrelation between the core default network (cDN) and the dorsal attention network (DAN) and the salience network (SN). This anticorrelation may constitute a key aspect of functional anatomy and is implicated in several brain disorders. We used dynamic causal modeling to assess the hypothesis that a causal hierarchy underlies this anticorrelation structure, using resting-state fMRI of healthy adolescent and young adults (N = 404). Our analysis revealed an asymmetric effective connectivity, such that the regions in the SN and DAN exerted an inhibitory influence on the cDN regions; whereas the cDN exerted an excitatory influence on the SN and DAN regions...
November 17, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/29158202/dynamic-effective-connectivity-in-resting-state-fmri
#12
Hae-Jeong Park, Karl J Friston, Chongwon Pae, Bumhee Park, Adeel Razi
Context-sensitive and activity-dependent fluctuations in connectivity underlie functional integration in the brain and have been studied widely in terms of synaptic plasticity, learning and condition-specific (e.g., attentional) modulations of synaptic efficacy. This dynamic aspect of brain connectivity has recently attracted a lot of attention in the resting state fMRI community. To explain dynamic functional connectivity in terms of directed effective connectivity among brain regions, we introduce a novel method to identify dynamic effective connectivity using spectral dynamic causal modelling (spDCM)...
November 20, 2017: NeuroImage
https://www.readbyqxmd.com/read/29116142/working-memory-attention-and-salience-in-active-inference
#13
Thomas Parr, Karl J Friston
The psychological concepts of working memory and attention are widely used in the cognitive and neuroscientific literatures. Perhaps because of the interdisciplinary appeal of these concepts, the same terms are often used to mean very different things. Drawing on recent advances in theoretical neurobiology, this paper tries to highlight the correspondence between these established psychological constructs and the formal processes implicit in mathematical descriptions of brain function. Here, we consider attention and salience from the perspective offered by active inference...
November 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29111773/factors-to-consider-when-reviewing-and-reconciling-research-findings-methodological-statistical-and-theoretical
#14
Sally J Robinson
Neuroscience is a rapidly evolving interdisciplinary field that is changing the way research is conducted and theories are developed. However, variability between studies and apparently discrepant findings may contribute to difficulties identifying commonalities that can help inform and enhance clinical practice. This article presents a framework to consider when reviewing neuropsychological studies, such that apparent discrepancies in findings may be considered in unison to provide informed theoretical understanding...
November 7, 2017: Applied Neuropsychology. Child
https://www.readbyqxmd.com/read/29111409/mulan-evaluation-and-ensemble-statistical-inference-for-functional-connectivity
#15
Huifang E Wang, Karl J Friston, Christian G Bénar, Marmaduke M Woodman, Patrick Chauvel, Viktor Jirsa, Christophe Bernard
Many analysis methods exist to extract graphs of functional connectivity from neuronal networks. Confidence in the results is limited because, (i) different methods give different results, (ii) parameter setting directly influences the final result, and (iii) systematic evaluation of the results is not always performed. Here, we introduce MULAN (MULtiple method ANalysis), which assumes an ensemble based approach combining multiple analysis methods and fuzzy logic to extract graphs with the most probable structure...
October 27, 2017: NeuroImage
https://www.readbyqxmd.com/read/29093675/a-factor-graph-description-of-deep-temporal-active-inference
#16
Bert de Vries, Karl J Friston
Active inference is a corollary of the Free Energy Principle that prescribes how self-organizing biological agents interact with their environment. The study of active inference processes relies on the definition of a generative probabilistic model and a description of how a free energy functional is minimized by neuronal message passing under that model. This paper presents a tutorial introduction to specifying active inference processes by Forney-style factor graphs (FFG). The FFG framework provides both an insightful representation of the probabilistic model and a biologically plausible inference scheme that, in principle, can be automatically executed in a computer simulation...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/29091338/analysis-of-family-wise-error-rates-in-statistical-parametric-mapping-using-random-field-theory
#17
Guillaume Flandin, Karl J Friston
This technical report revisits the analysis of family-wise error rates in statistical parametric mapping-using random field theory-reported in (Eklund et al. []: arXiv 1511.01863). Contrary to the understandable spin that these sorts of analyses attract, a review of their results suggests that they endorse the use of parametric assumptions-and random field theory-in the analysis of functional neuroimaging data. We briefly rehearse the advantages parametric analyses offer over nonparametric alternatives and then unpack the implications of (Eklund et al...
November 1, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29038652/hierarchical-recursive-organization-and-the-free-energy-principle-from-biological-self-organization-to-the-psychoanalytic-mind
#18
Patrick Connolly, Vasi van Deventer
The present paper argues that a systems theory epistemology (and particularly the notion of hierarchical recursive organization) provides the critical theoretical context within which the significance of Friston's (2010a) Free Energy Principle (FEP) for both evolution and psychoanalysis is best understood. Within this perspective, the FEP occupies a particular level of the hierarchical organization of the organism, which is the level of biological self-organization. This form of biological self-organization is in turn understood as foundational and pervasive to the higher levels of organization of the human organism that are of interest to both neuroscience as well as psychoanalysis...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/29029962/answering-schr%C3%A3-dinger-s-question-a-free-energy-formulation
#19
REVIEW
Maxwell James Désormeau Ramstead, Paul Benjamin Badcock, Karl John Friston
The free-energy principle (FEP) is a formal model of neuronal processes that is widely recognised in neuroscience as a unifying theory of the brain and biobehaviour. More recently, however, it has been extended beyond the brain to explain the dynamics of living systems, and their unique capacity to avoid decay. The aim of this review is to synthesise these advances with a meta-theoretical ontology of biological systems called variational neuroethology, which integrates the FEP with Tinbergen's four research questions to explain biological systems across spatial and temporal scales...
September 20, 2017: Physics of Life Reviews
https://www.readbyqxmd.com/read/29024792/effective-connectivity-inferred-from-fmri-transition-dynamics-during-movie-viewing-points-to-a-balanced-reconfiguration-of-cortical-interactions
#20
REVIEW
Matthieu Gilson, Gustavo Deco, Karl Friston, Patric Hagmann, Dante Mantini, Viviana Betti, Gian Luca Romani, Maurizio Corbetta
Our behavior entails a flexible and context-sensitive interplay between brain areas to integrate information according to goal-directed requirements. However, the neural mechanisms governing the entrainment of functionally specialized brain areas remain poorly understood. In particular, the question arises whether observed changes in the regional activity for different cognitive conditions are explained by modifications of the inputs to the brain or its connectivity? We observe that transitions of fMRI activity between areas convey information about the tasks performed by 19 subjects, watching a movie versus a black screen (rest)...
October 9, 2017: NeuroImage
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