First Neuropharmacological Contribution

Congratulations to Ali and Mariann for the first neuropharmacological contribution from our laboratory with the article A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque . This study first surveys all 14 different tasks that have ever been used with Guanfacine in nonhuman primate studies and than shows in a single case study how rigorous computational reinforcement learning modelling extends existing knowledge by informing about the fundamental learning mechanisms that this drug affects during complex reversal learning. This article is particular important as it paves the way for a more formal computational approach to understand the neural effects of systemically acting psychoactive drugs like Guanfacine (which is uses in Attention Deficit Hyperactivity Disorder, mild cognitive impairment, and more). Congrats Ali and Mariann and all co-authors that made this study possible!

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A recent paper provides rare causal evidence that phase-specific stimulation during beta oscillation bursts lead to transient changes in effective (latent) connectivity. This finding and its potentially widespread implications are discussed in our paper Womelsdorf T, Hoffman K (2018) Latent Connectivity: Neuronal Oscillations Can Be Leveraged for Transient Plasticity. Current Biology. 28(16):R879-R882..

Fronto-Striatal Circuits Optimize Feature-based Attention and Learning

Our new publication (Oemisch et al. (2018) Feature Specific Prediction Errors and Surprise across Macaque Fronto-Striatal Circuits during Attention and Learning) provides the first 4-brain-area survey of how prediction error information in the anterior cingulate – ventral striatum and lateral prefrontal – caudate fronto-striatal loops relate to feature-based attention and learning. We found prediction errors […]

Effective Connectivity Shows Asymmetries in Resonance and Latencies between Medial and Lateral Prefrontal Cortex Connections

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