Search Results - "FRISTON, K. J"

Bayesian model selection for group studies — Revisited by Rigoux, L., Stephan, K.E., Friston, K.J., Daunizeau, J.

“…In this paper, we revisit the problem of Bayesian model selection (BMS) at the group level. We originally addressed this issue in Stephan et al. (2009), where…”
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The default-mode, ego-functions and free-energy: a neurobiological account of Freudian ideas by Carhart-Harris, R. L., Friston, K. J.

“…This article explores the notion that Freudian constructs may have neurobiological substrates. Specifically, we propose that Freud’s descriptions of the…”
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Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models by Daunizeau, J., Friston, K.J., Kiebel, S.J.

“…In this paper, we describe a general variational Bayesian approach for approximate inference on nonlinear stochastic dynamic models. This scheme extends…”
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Dynamic causal modelling by Friston, K.J., Harrison, L., Penny, W.

“…In this paper we present an approach to the identification of nonlinear input–state–output systems. By using a bilinear approximation to the dynamics of…”
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Do patients with schizophrenia exhibit aberrant salience? by Roiser, J P, Stephan, K E, den Ouden, H E M, Barnes, T R E, Friston, K J, Joyce, E M

“…It has been suggested that some psychotic symptoms reflect 'aberrant salience', related to dysfunctional reward learning. To test this hypothesis we…”
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Contrast gain control and horizontal interactions in V1: A DCM study by Pinotsis, D.A., Brunet, N., Bastos, A., Bosman, C.A., Litvak, V., Fries, P., Friston, K.J.

“…Using high-density electrocorticographic recordings – from awake-behaving monkeys – and dynamic causal modelling, we characterised contrast dependent gain…”
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Ten simple rules for dynamic causal modeling by Stephan, K.E., Penny, W.D., Moran, R.J., den Ouden, H.E.M., Daunizeau, J., Friston, K.J.

“…Dynamic causal modeling (DCM) is a generic Bayesian framework for inferring hidden neuronal states from measurements of brain activity. It provides posterior…”
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A PET study exploring the laterality of brainstem activation in migraine using glyceryl trinitrate by Afridi, S. K., Matharu, M. S., Lee, L., Kaube, H., Friston, K. J., Frackowiak, R. S. J., Goadsby, P. J.

“…Migraine is a common disabling condition likely to be associated with dysfunction of brain pathways involved in pain and other sensory modalities. A cardinal,…”
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Computational neuroimaging strategies for single patient predictions by Stephan, K.E., Schlagenhauf, F., Huys, Q.J.M., Raman, S., Aponte, E.A., Brodersen, K.H., Rigoux, L., Moran, R.J., Daunizeau, J., Dolan, R.J., Friston, K.J., Heinz, A.

“…Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve clinically relevant single-subject predictions. An alternative to…”
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A DCM study of spectral asymmetries in feedforward and feedback connections between visual areas V1 and V4 in the monkey by Bastos, A.M., Litvak, V., Moran, R., Bosman, C.A., Fries, P., Friston, K.J.

“…This paper reports a dynamic causal modeling study of electrocorticographic (ECoG) data that addresses functional asymmetries between forward and backward…”
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Schizophrenia and the disconnection hypothesis by Friston, K. J.

“…This article reviews the disconnection hypothesis of schizophrenia and presents a mechanistic account of how dysfunctional integration among neuronal systems…”
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Stochastic dynamic causal modelling of fMRI data: Should we care about neural noise? by Daunizeau, J., Stephan, K.E., Friston, K.J.

“…Dynamic causal modelling (DCM) was introduced to study the effective connectivity among brain regions using neuroimaging data. Until recently, DCM relied on…”
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Efficient gradient computation for dynamical models by Sengupta, B., Friston, K.J., Penny, W.D.

“…Data assimilation is a fundamental issue that arises across many scales in neuroscience — ranging from the study of single neurons using single electrode…”
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DEM: A variational treatment of dynamic systems by Friston, K.J., Trujillo-Barreto, N., Daunizeau, J.

“…This paper presents a variational treatment of dynamic models that furnishes time-dependent conditional densities on the path or trajectory of a system's…”
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Dynamic causal modelling of lateral interactions in the visual cortex by Pinotsis, D.A., Schwarzkopf, D.S., Litvak, V., Rees, G., Barnes, G., Friston, K.J.

“…This paper presents a dynamic causal model based upon neural field models of the Amari type. We consider the application of these models to non-invasive data,…”
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REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics by Carhart-Harris, R L, Friston, K J

“…This paper formulates the action of psychedelics by integrating the free-energy principle and entropic brain hypothesis. We call this formulation relaxed…”
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Anatomical connectivity and the resting state activity of large cortical networks by Pinotsis, D.A., Hansen, E., Friston, K.J., Jirsa, V.K.

“…This paper uses mathematical modelling and simulations to explore the dynamics that emerge in large scale cortical networks, with a particular focus on the…”
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The physiological basis of attentional modulation in extrastriate visual areas by Chawla, D, Rees, G, Friston, K. J

“…Selective attention to color or motion enhances activity in specialized areas of extrastriate cortex, but mechanisms of attentional modulation remain unclear…”
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Dynamic causal modeling with neural fields by Pinotsis, D.A., Moran, R.J., Friston, K.J.

“…The aim of this paper is twofold: first, to introduce a neural field model motivated by a well-known neural mass model; second, to show how one can estimate…”
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Encoding uncertainty in the hippocampus by Harrison, L.M., Duggins, A., Friston, K.J.

“…The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit…”
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