Spatial representations of granule cells and mossy cells of the dentate gyrus

By Douglas GoodSmith, Xiaojing Chen, Cheng Wang, Sang Hoon Kim, Hongjun Song, Andrea Burgalossi, Kimberly M. Christian, James J. Knierim. 2017

250 citations recorded by the source corpus.

Summary Granule cells in the dentate gyrus of the hippocampus are thought to be essential to memory function by decorrelating overlapping input patterns (pattern separation). A second excitatory cell type in the dentate gyrus, the mossy cell, forms an intricate circuit with granule cells, CA3c pyramidal cells, and local interneurons, but the influence of mossy cells on dentate function is often overlooked. Multiple tetrode recordings, supported by juxtacellular recording techniques, showed that granule cells fired very sparsely, whereas mossy cells in the hilus fired promiscuously in multiple locations and in multiple environments. The activity patterns of these cell types thus represent different environments through distinct computational mechanisms: sparse coding in granule cells and changes in firing field locations in mossy cells.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology

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Citations in the corpus

Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “Recently, three studies addressed these limitations by developing classification methods for electrophysiological recordings (GoodSmith et al., 2017; Senzai and Buzsáki, 2017) or using calcium imaging (Danielson et al.”
Physiological properties and behavioral correlates of hippocampal granule cells and mossy cells (2017, unknown): “In contrast, granule cells can have strong remapping when tested in different rooms, with individual neurons firing only in a single room (GoodSmith et al., 2017).”
An analysis of dentate gyrus function (an update) (2017, background): “It should also be noted that the mossy cells which form an intricate circuit with granule cells are generally more active than the granule cells in a variety of spatial situations [10,11].”
Pattern separation in the hippocampus through the eyes of computational modeling (2017, background): “Specifically, the principal dentate neurons, the granule cells (GCs), have been hypothesized to fulfill this role (Treves, Tashiro, Witter, & Moser, 2008) due to their activity sparseness (Danielson et al., 2017; GoodSmith et al., 2017; Schmidt et al., 2012), low firing rate (Danielson et al.”