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Get Free AccessAcetylcholine (ACh) is a neuromodulatory transmitter implicated in perception and learning under uncertainty. This study combined computational simulations and pharmaco-electroencephalography in humans, to test a formulation of perceptual inference based upon the free energy principle. This formulation suggests that ACh enhances the precision of bottom-up synaptic transmission in cortical hierarchies by optimizing the gain of supragranular pyramidal cells. Simulations of a mismatch negativity paradigm predicted a rapid trial-by-trial suppression of evoked sensory prediction error (PE) responses that is attenuated by cholinergic neuromodulation. We confirmed this prediction empirically with a placebo-controlled study of cholinesterase inhibition. Furthermore, using dynamic causal modeling, we found that drug-induced differences in PE responses could be explained by gain modulation in supragranular pyramidal cells in primary sensory cortex. This suggests that ACh adaptively enhances sensory precision by boosting bottom-up signaling when stimuli are predictable, enabling the brain to respond optimally under different levels of environmental uncertainty.
Rosalyn Moran, Pablo Campo, Mkael Symmonds, Klaas Ε. Stephan, Raymond J. Dolan, Karl Friston (2013). Free Energy, Precision and Learning: The Role of Cholinergic Neuromodulation. Journal of Neuroscience, 33(19), pp. 8227-8236, DOI: 10.1523/jneurosci.4255-12.2013.
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Type
Article
Year
2013
Authors
6
Datasets
0
Total Files
0
Language
English
Journal
Journal of Neuroscience
DOI
10.1523/jneurosci.4255-12.2013
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