Pattern separation of spiketrains in hippocampal neurons

• DOI: 10.1101/107706
• Publication Date: 2017-02-12T06:10:12Z
• Authors: Antoine D. Madar; Laura A. Ewell; Mathew V. Jones
• Keywords: Granule cell

Abstract Pattern separation is a process that minimizes overlap between patterns of neuronal activity representing similar experiences. Theoretical work suggests the dentate gyrus (DG) performs this role for memory processing but direct demonstration lacking. One limitation difficulty to measure DG inputs and outputs simultaneously. To rigorously assess pattern by circuitry, we used mouse brain slices stimulate afferents simultaneously record granule cells (GCs) interneurons. Output spiketrains GCs are more dissimilar than their input spiketrains, demonstrating first time temporal at level single neurons in DG. larger fast-spiking interneurons hilar mossy cells, amplified CA3 pyramidal cells. Analysis neural noise computational modelling suggest form not explained simple randomness arises from specific presynaptic dynamics. Overall, reframing concept dynamic terms connecting it physiology different types neurons, our study offers new window understanding how hippocampal networks might support episodic memory.