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Monday, July 20 • 7:00pm - 8:00pm
P139: Stereotyped population dynamics in the medial entorhinal cortex

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Join Zoom Meeting; https://NTNU.zoom.us/j/68463351705?pwd=UnN6N3lTVy9yRC9uMUhWcnlUSmREUT09
Meeting ID: 684 6335 1705
Passcode: 476100

Soledad Gonzalo Cogno
, Flavio Donato, Horst A. Obenhaus, R. Irene Jacobsen, May-Britt Moser, Edvard I. Moser

The medial entorhinal cortex (MEC) supports the brain’s representation of space with distinct cell types (grid, border, object-vector, head-directions and speed cells). Since no single sensory stimulus can faithfully predict the firing of these cells, attractor network models postulate that spatially-tuned firing emerges from specific connectivity motives. To determine how those motives constrain the self-organized activity in the MEC, we tested mice in a spontaneous locomotion task under sensory-deprived conditions, when activity likely is determined by the intrinsic structure of the network. Using 2-photon calcium imaging, we monitored the activity of large populations of MEC neurons in mice running on a wheel in darkness.

To reveal network dynamics we applied dimensionality reduction techniques to the spike matrix. This way we unveiled the presence of motifs that involve the sequential activation of neurons (“waves”). Waves lasted from tens of seconds to minutes, swept through the entire network of active cells and did not exhibit any anatomical organization. Waves were not found in spike-time- shuffled data. Furthermore, waves did not map the position of the mouse on the wheel and were not restricted to running epochs. Single neurons exhibited a wide range of locking degrees to the waves, indicating that the observed dynamics is a population effect rather than a single cell phenomenon. Overall, our results suggest that a large fraction of MEC-L2 neurons participates in common global dynamics that often takes the form of stereotyped waves. These activity patterns might couple the activity of neurons with distinct tuning characteristics in MEC.

avatar for Soledad Gonzalo Cogno

Soledad Gonzalo Cogno

Postdoctoral fellow, Kavli Institute for Systems Neuroscience and Centre for Neural Computation, NTNU

Monday July 20, 2020 7:00pm - 8:00pm CEST
Slot 14