TAPAS: an open-source software package for translational neuromodeling and computational psychiatry

S Frässle, EA Aponte, S Bollmann… - Frontiers in …, 2021‏ - frontiersin.org
Psychiatry faces fundamental challenges with regard to mechanistically guided differential
diagnosis, as well as prediction of clinical trajectories and treatment response of individual …

The anatomy of inference: generative models and brain structure

T Parr, KJ Friston - Frontiers in computational neuroscience, 2018‏ - frontiersin.org
To infer the causes of its sensations, the brain must call on a generative (predictive) model.
This necessitates passing local messages between populations of neurons to update beliefs …

[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 …

[HTML][HTML] Focus of attention modulates the heartbeat evoked potential

FH Petzschner, LA Weber, KV Wellstein, G Paolini… - NeuroImage, 2019‏ - Elsevier
Theoretical frameworks such as predictive coding suggest that the perception of the body
and world–interoception and exteroception–involve intertwined processes of inference …

Cortical cholinergic signaling controls the detection of cues

HJ Gritton, WM Howe, CS Mallory, VL Hetrick… - Proceedings of the …, 2016‏ - pnas.org
The cortical cholinergic input system has been described as a neuromodulator system that
influences broadly defined behavioral and brain states. The discovery of phasic, trial-based …

Pharmacological fingerprints of contextual uncertainty

L Marshall, C Mathys, D Ruge, AO De Berker… - PLoS …, 2016‏ - journals.plos.org
Successful interaction with the environment requires flexible updating of our beliefs about
the world. By estimating the likelihood of future events, it is possible to prepare appropriate …

Hierarchical prediction errors in midbrain and septum during social learning

AO Diaconescu, C Mathys, LAE Weber… - Social cognitive and …, 2017‏ - academic.oup.com
Social learning is fundamental to human interactions, yet its computational and
physiological mechanisms are not well understood. One prominent open question concerns …

Thalamic regulation of frontal interactions in human cognitive flexibility

A Hummos, BA Wang, S Drammis… - PLoS Computational …, 2022‏ - journals.plos.org
Interactions across frontal cortex are critical for cognition. Animal studies suggest a role for
mediodorsal thalamus (MD) in these interactions, but the computations performed and direct …

[HTML][HTML] State anxiety alters the neural oscillatory correlates of predictions and prediction errors during reward-based learning

TP Hein, MH Ruiz - Neuroimage, 2022‏ - Elsevier
Anxiety influences how the brain estimates and responds to uncertainty. The consequences
of these processes on behaviour have been described in theoretical and empirical studies …

[HTML][HTML] Cortical coupling reflects Bayesian belief updating in the deployment of spatial attention

S Vossel, C Mathys, KE Stephan… - Journal of Neuroscience, 2015‏ - jneurosci.org
The deployment of visuospatial attention and the programming of saccades are governed by
the inferred likelihood of events. In the present study, we combined computational modeling …