Predictive processes and the peculiar case of music
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 …
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 …
generated 'question-and-answer'strategies. However, in laboratory settings participants …
[HTML][HTML] Dynamic causal modelling revisited
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 …
(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
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 …
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 …
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 …
Consciousness Model (PCM), which is based on the hypothesis that the spatial field of …
Interoceptive inference: From computational neuroscience to clinic
The central and autonomic nervous systems can be defined by their anatomical, functional
and neurochemical characteristics, but neither functions in isolation. For example …
and neurochemical characteristics, but neither functions in isolation. For example …
[HTML][HTML] Computational neuroimaging strategies for single patient predictions
Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve
clinically relevant single-subject predictions. An alternative to machine learning, which tries …
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 …
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 …
problems for contemporary psychiatry. Tackling these problems requires guidance by a …