Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit
© Scorcioni et al; licensee BioMed Central Ltd. 2008
Published: 11 July 2008
The mammalian hippocampus is involved in spatial representation and memory storage and retrieval, and much research is ongoing to elucidate the cellular and system-level 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.
Results and Discussion
This work was supported by NIH grants NS39600, AG025633 and NSF grant SGER 0747864.
- Ascoli GA, Atkeson JC: Incorporating anatomically realistic cellular-level connectivity in neural network models of the rat hippocampus. BioSystems. 2005, 79: 173-181. 10.1016/j.biosystems.2004.09.024.View ArticlePubMedGoogle Scholar
- Freund TF, Buzsaki G: Interneurons of the hippocampus. Hippocampus. 1996, 6: 347-470. 10.1002/(SICI)1098-1063(1996)6:4<347::AID-HIPO1>3.0.CO;2-I.View ArticlePubMedGoogle Scholar
- McCulloch W, Pitts W: A logical calculus of ideas immanent in nervous activity. Bulletin of Mathematical Biophysics. 1943, 5: 115-133. 10.1007/BF02478259.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd.