Abstract

Introduction The mammalian hippocampus is involved in spatial representation and memory storage and retrieval, and much research is ongoing to elucidate the cellular and systemlevel mechanisms underlying these cognitive tasks. Modeling may be useful to link network-level activity patterns to the relevant features of hippocampal anatomy and electrophysiology. Investigating the effects of circuit connectivity requires simulations of a number of neurons close to real scale.

Highlights

  • The mammalian hippocampus is involved in spatial representation and memory storage and retrieval, and much research is ongoing to elucidate the cellular and systemlevel mechanisms underlying these cognitive tasks

  • The number of neurons in each class and their interconnectivity are drawn from rat anatomy [1]

  • Specific firing threshold values are narrowly constrained for each cell class upon multiple runs with different stochastic wiring and initial conditions, yet these values do not directly affect network stability

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Summary

Introduction

The mammalian hippocampus is involved in spatial representation and memory storage and retrieval, and much research is ongoing to elucidate the cellular and systemlevel mechanisms underlying these cognitive tasks. Address: Center for Neural Informatics, Structure, and Plasticity (CN3); Krasnow Institute for Advanced Study, George Mason University, VA, 22030, USA Email: Ruggero Scorcioni* - rscorcio@gmu.edu * Corresponding author from Seventeenth Annual Computational Neuroscience Meeting: CNS*2008 Portland, OR, USA.

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