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Ten simple rules for the computational modeling of behavioral data
RC Wilson, AGE Collins - Elife, 2019 - elifesciences.org
Computational modeling of behavior has revolutionized psychology and neuroscience. By
fitting models to experimental data we can probe the algorithms underlying behavior, find …
fitting models to experimental data we can probe the algorithms underlying behavior, find …
Bayesian approaches to autism: Towards volatility, action, and behavior.
Autism spectrum disorder currently lacks an explanation that bridges cognitive,
computational, and neural domains. In the past 5 years, progress has been sought in this …
computational, and neural domains. In the past 5 years, progress has been sought in this …
[HTML][HTML] A step-by-step tutorial on active inference and its application to empirical data
The active inference framework, and in particular its recent formulation as a partially
observable Markov decision process (POMDP), has gained increasing popularity in recent …
observable Markov decision process (POMDP), has gained increasing popularity in recent …
Turning large language models into cognitive models
[HTML][HTML] Bayesian model reduction and empirical Bayes for group (DCM) studies
This technical note describes some Bayesian procedures for the analysis of group studies
that use nonlinear models at the first (within-subject) level–eg, dynamic causal models–and …
that use nonlinear models at the first (within-subject) level–eg, dynamic causal models–and …
The salience network is responsible for switching between the default mode network and the central executive network: replication from DCM
N Goulden, A Khusnulina, NJ Davis, RM Bracewell… - Neuroimage, 2014 - Elsevier
With the advent of new analysis methods in neuroimaging that involve independent
component analysis (ICA) and dynamic causal modelling (DCM), investigations have …
component analysis (ICA) and dynamic causal modelling (DCM), investigations have …
Bifurcation in brain dynamics reveals a signature of conscious processing independent of report
An outstanding challenge for consciousness research is to characterize the neural signature
of conscious access independently of any decisional processes. Here we present a model …
of conscious access independently of any decisional processes. Here we present a model …