paper

Disynaptic Effect of Hilar Cells on Pattern Separation in A Spiking Neural Network of Hippocampal Dentate Gyrus

arXiv:2109.12731

Abstract

We investigate disynaptic effect of the hilar cells on pattern separation in a spiking neural network of the hippocampal dentate gyrus (DG). The principal granule cells (GCs) in the DG perform pattern separation, transforming similar input patterns into less-similar output patterns. The hilus consists of excitatory mossy cells (MCs) and inhibitory HIPP (hilar perforant path-associated) cells. Here, we consider the disynaptic effects of the MCs and the HIPP cells on the GCs, mediated by the inhibitory basket cells (BCs); MC BC GC and HIPP BC GC. By changing synaptic strength ( X = MC or HIPP) from the default value , we study the change in the pattern separation degree . When decreasing or independently increasing from their default values, is found to decrease (i.e., pattern separation is reduced). On the other hand, as is increased or independently is decreased from their default values, pattern separation becomes enhanced (i.e., increases). In this way, the disynaptic effects of the MCs and the HIPP cells on the pattern separation are opposite ones. Thus, when simultaneously varying both and , as a result of balance between the two competing disynaptic effects of the MCs and the HIPP cells, forms a bell-shaped curve with an optimal maximum at their default values. Moreover, the population and individual behaviors of the sparsely synchronized rhythm of the GCs are found to be strongly correlated with the pattern separation degree . Consequently, the larger the synchronization and the random phase-locking degrees of the sparsely synchronized rhythm is, the more the pattern separation becomes enhanced.

arXiv admin note: text overlap with arXiv:2106.00172, arXiv:2105.06057