The phase of firing of fronto-striatal neurons encodes learning variables

Our new paper shows that neurons in the striatum, anterior cingulate and prefrontal cortex encode learning variables in the phase of firing. We outline a powerful regression based analysis pipeline that revealed spiking activity of neurons relative to the phase of beta oscillations carries significant learning information during reversal learning. The paper can be downloaded here. We first show that there is widespread beta-synchronization of spikes and LFP beta activity across the fronto-striatal network. For neurons signifiantly synchronizing to this network the phase at which they spike is signifisntly more infomrative that the phase-blind rate code.

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New 3D-object type with controllable feature space published with open-sourced code

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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 […]