Search Results - "Friston, K."

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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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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Dynamic causal modelling revisited by Friston, K.J., Preller, Katrin H., Mathys, Chris, Cagnan, Hayriye, Heinzle, Jakob, Razi, Adeel, Zeidman, Peter

“…This paper revisits the dynamic causal modelling of fMRI timeseries by replacing the usual (Taylor) approximation to neuronal dynamics with a neural mass model…”
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Topological FDR for neuroimaging by Chumbley, J., Worsley, K., Flandin, G., Friston, K.

“…In this technical note, we describe and validate a topological false discovery rate (FDR) procedure for statistical parametric mapping. This procedure is…”
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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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Distinct Top-down and Bottom-up Brain Connectivity During Visual Perception and Imagery by Dijkstra, N., Zeidman, P., Ondobaka, S., van Gerven, M. A. J., Friston, K.

“…Research suggests that perception and imagination engage neuronal representations in the same visual areas. However, the underlying mechanisms that…”
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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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Caching mechanisms for habit formation in Active Inference by Maisto, D., Friston, K., Pezzulo, G.

“…A popular distinction in the human and animal learning literature is between deliberate (or willed) and habitual (or automatic) modes of control. Extensive…”
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Waking and dreaming consciousness: neurobiological and functional considerations by Hobson, J A, Friston, K J

“…This paper presents a theoretical review of rapid eye movement sleep with a special focus on pontine-geniculate-occipital waves and what they might tell us…”
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False discovery rate revisited: FDR and topological inference using Gaussian random fields by Chumbley, Justin R., Friston, Karl J.

“…In this note, we revisit earlier work on false discovery rate (FDR) and evaluate it in relation to topological inference in statistical parametric mapping. We…”
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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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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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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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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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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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Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM by López, J.D., Litvak, V., Espinosa, J.J., Friston, K., Barnes, G.R.

“…The MEG/EEG inverse problem is ill-posed, giving different source reconstructions depending on the initial assumption sets. Parametric Empirical Bayes allows…”
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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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