Predictive processes and the peculiar case of music

S Koelsch, P Vuust, K Friston - Trends in cognitive sciences, 2019 - cell.com
We suggest that music perception is an active act of listening, providing an irresistible
epistemic offering. When listening to music we constantly generate plausible hypotheses …

Towards a neuroscience of active sampling and curiosity

J Gottlieb, PY Oudeyer - Nature Reviews Neuroscience, 2018 - nature.com
In natural behaviour, animals actively interrogate their environments using endogenously
generated 'question-and-answer'strategies. However, in laboratory settings participants …

[HTML][HTML] Dynamic causal modelling revisited

KJ Friston, KH Preller, C Mathys, H Cagnan, J Heinzle… - Neuroimage, 2019 - Elsevier
This paper revisits the dynamic causal modelling of fMRI timeseries by replacing the usual
(Taylor) approximation to neuronal dynamics with a neural mass model of the canonical …

Altering spatial priority maps via statistical learning of target selection and distractor filtering

O Ferrante, A Patacca, V Di Caro, C Della Libera… - Cortex, 2018 - Elsevier
The cognitive system has the capacity to learn and make use of environmental regularities–
known as statistical learning (SL), including for the implicit guidance of attention. For …

When beliefs face reality: An integrative review of belief updating in mental health and illness

T Kube, L Rozenkrantz - Perspectives on Psychological …, 2021 - journals.sagepub.com
Belief updating is a relatively nascent field of research that examines how people adjust
their beliefs in light of new evidence. So far, belief updating has been investigated in partly …

A mathematical model of embodied consciousness

D Rudrauf, D Bennequin, I Granic, G Landini… - Journal of theoretical …, 2017 - Elsevier
We introduce a mathematical model of embodied consciousness, the Projective
Consciousness Model (PCM), which is based on the hypothesis that the spatial field of …

Interoceptive inference: From computational neuroscience to clinic

AP Owens, M Allen, S Ondobaka, KJ Friston - … & Biobehavioral Reviews, 2018 - Elsevier
The central and autonomic nervous systems can be defined by their anatomical, functional
and neurochemical characteristics, but neither functions in isolation. For example …

[HTML][HTML] Computational neuroimaging strategies for single patient predictions

KE Stephan, F Schlagenhauf, QJM Huys, S Raman… - Neuroimage, 2017 - Elsevier
Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve
clinically relevant single-subject predictions. An alternative to machine learning, which tries …

Visual mismatch and predictive coding: a computational single-trial ERP study

G Stefanics, J Heinzle, AA Horváth… - Journal of …, 2018 - Soc Neuroscience
Predictive coding (PC) posits that the brain uses a generative model to infer the
environmental causes of its sensory data and uses precision-weighted prediction errors …

[HTML][HTML] Can Bayesian theories of autism spectrum disorder help improve clinical practice?

H Haker, M Schneebeli, KE Stephan - Frontiers in psychiatry, 2016 - frontiersin.org
Diagnosis and individualized treatment of autism spectrum disorder (ASD) represent major
problems for contemporary psychiatry. Tackling these problems requires guidance by a …