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Halverson, H. E.

Publications and source records attributed to Halverson, H. E..

2 recordsLinked to original sources

Interactions between the medial prefrontal cortex, dorsomedial striatum, and dorsal hippocampus that support rat category learning

Categorization creates memory representations that are efficient, generalizable, and robust to noise. Multiple brain regions have been implicated in categorization, including the prefrontal cortex, striatum, and hippocampus; however, few studies have examined how these regions interact during category learning. We recorded neural activity in the medial prefrontal cortex (PFC), dorsomedial striatum (DMS), and dorsal hippocampus (HPC) while rats learned to categorize distributions of visual stimuli. We found a learning-related shift in contributions from the PFC (with DMS[->]PFC theta (4-10Hz) interactions) to the HPC (with HPC[->]DMS and bidirectional PFC-HPC theta interactions). Decision-making depended on DMS and HPC spiking, as well as the PFC[->]HPC[->]DMS pathway. Our results provide a framework that characterizes how the PFC-DMS-HPC network interacts during category learning. This is informative for multiple neurological disorders that affect category learning, including Parkinsons Disease, autism, and dementia. Highlights- Rats learned to categorize distributions of visual stimuli. - Early training sessions relied on PFC spiking and DMS[->]PFC theta interactions. - After learning, contributions shifted to HPC spiking, HPC[->]DMS interactions, and bidirectional PFC-HPC interactions. - Decision-making depended on DMS and HPC spiking and PFC[->]HPC[->]DMS interactions. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=180 HEIGHT=200 SRC="FIGDIR/small/649785v1_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@ba3342org.highwire.dtl.DTLVardef@7b62a4org.highwire.dtl.DTLVardef@890676org.highwire.dtl.DTLVardef@75f84_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Feedback Inhibition Underlies New Computational Functions of Cerebellar Interneurons

The function of a feedback inhibitory circuit between cerebellar Purkinje cells and molecular layer interneurons (MLIs) was defined by combining optogenetics, neuronal activity recordings both in cerebellar slices and in vivo, and computational modeling. Purkinje cells inhibit a subset of MLIs in the inner third of the molecular layer. This inhibition is non-reciprocal, short-range (less than 200 m) and is based on convergence of 1-2 Purkinje cells onto MLIs. During learning-related eyelid movements in vivo, the activity of a subset of MLIs progressively increases at the same time that Purkinje cell activity decreases, with Purkinje cells usually leading the MLIs. Computer simulations indicate that these relationships are best explained by the feedback circuit from Purkinje cells to MLIs and that this feedback circuit plays a central role in making cerebellar learning efficient.

neuroscience↗