Population and Individual Firing Behaviors in Sparsely Synchronized Rhythms in The Hippocampal Dentate Gyrus
Sang-Yoon Kim, Woochang Lim

TL;DR
This paper explores the synchronized firing patterns in the hippocampal dentate gyrus, revealing how population and individual neuron behaviors contribute to sparse coding and pattern separation, with implications for understanding epileptogenesis.
Contribution
It introduces a detailed analysis of population and individual firing behaviors in SSRs within the DG, highlighting the roles of GCs, BCs, and MCs, and examines effects of MC loss.
Findings
SSRs occur at ~13 Hz in GCs, BCs, and MCs.
Individual GCs show random spike skipping with multi-peaked ISI histograms.
MC loss affects firing patterns and synchronization in SSRs.
Abstract
We investigate population and individual firing behaviors in sparsely synchronized rhythms (SSRs) in a spiking neural network of the hippocampal dentate gyrus (DG). The main encoding granule cells (GCs) are grouped into lamellar clusters. In each GC cluster, there is one inhibitory (I) basket cell (BC) along with excitatory (E) GCs, and they form the E-I loop. Winner-take-all competition, leading to sparse activation of the GCs, occurs in each GC cluster. Such sparsity has been thought to enhance pattern separation performed in the DG. During the winner-take-all competition, SSRs are found to appear in each population of the GCs and the BCs through interaction of excitation of the GCs with inhibition of the BCs. Sparsely synchronized spiking stripes appear successively with the population frequency Hz) in the raster plots of spikes. We also note that excitatory hilar mossy…
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Taxonomy
TopicsNeural dynamics and brain function · Photoreceptor and optogenetics research · Nonlinear Dynamics and Pattern Formation
