Literature DB >> 17765743

Modeling the dentate gyrus.

Robert J Morgan1, Vijayalakshmi Santhakumar, Ivan Soltesz.   

Abstract

Computational modeling has become an increasingly useful tool for studying complex neuronal circuits such as the dentate gyrus. In order to effectively apply computational techniques and theories to answer pressing biological questions, however, it is necessary to develop detailed, data-driven models. Development of such models is a complicated process, akin to putting together a jigsaw puzzle with the pieces being such things as cell types, cell numbers, and specific connectivity. This chapter provides a walkthrough for the development of a very large-scale, biophysically realistic model of the dentate gyrus. Subsequently, it demonstrates the utility of a modeling approach in asking and answering questions about both healthy and pathological states involving the modeled brain region. Finally, this chapter discusses some predictions that come directly from the model that can be tested in future experimental approaches.

Mesh:

Year:  2007        PMID: 17765743     DOI: 10.1016/S0079-6123(07)63035-0

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  24 in total

Review 1.  Architecture of spatial circuits in the hippocampal region.

Authors:  Menno P Witter; Cathrin B Canto; Jonathan J Couey; Noriko Koganezawa; Kally C O'Reilly
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

2.  Computational modeling of GABAA receptor-mediated paired-pulse inhibition in the dentate gyrus.

Authors:  Peter Jedlicka; Thomas Deller; Stephan W Schwarzacher
Journal:  J Comput Neurosci       Date:  2010-02-23       Impact factor: 1.621

Review 3.  Future of seizure prediction and intervention: closing the loop.

Authors:  Vivek Nagaraj; Steven T Lee; Esther Krook-Magnuson; Ivan Soltesz; Pascal Benquet; Pedro P Irazoqui; Theoden I Netoff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

4.  Recurrent inhibitory circuitry as a mechanism for grid formation.

Authors:  Jonathan J Couey; Aree Witoelar; Sheng-Jia Zhang; Kang Zheng; Jing Ye; Benjamin Dunn; Rafal Czajkowski; May-Britt Moser; Edvard I Moser; Yasser Roudi; Menno P Witter
Journal:  Nat Neurosci       Date:  2013-01-20       Impact factor: 24.884

Review 5.  Corruption of the dentate gyrus by "dominant" granule cells: Implications for dentate gyrus function in health and disease.

Authors:  Helen E Scharfman; Catherine E Myers
Journal:  Neurobiol Learn Mem       Date:  2015-09-29       Impact factor: 2.877

6.  Operations Research Methods for Estimating the Population Size of Neuron Types.

Authors:  Sarojini M Attili; Sean T Mackesey; Giorgio A Ascoli
Journal:  Ann Oper Res       Date:  2020-03-09       Impact factor: 4.854

7.  A role for hilar cells in pattern separation in the dentate gyrus: a computational approach.

Authors:  Catherine E Myers; Helen E Scharfman
Journal:  Hippocampus       Date:  2009-04       Impact factor: 3.899

8.  Neurogenesis is enhanced and mossy fiber sprouting arises in FGF7-deficient mice during development.

Authors:  Clara H Lee; Danish Javed; Alison L Althaus; Jack M Parent; Hisashi Umemori
Journal:  Mol Cell Neurosci       Date:  2012-08-03       Impact factor: 4.314

Review 9.  Mechanisms of epileptogenesis: a convergence on neural circuit dysfunction.

Authors:  Ethan M Goldberg; Douglas A Coulter
Journal:  Nat Rev Neurosci       Date:  2013-04-18       Impact factor: 34.870

10.  Inhibitory interneuron progenitor transplantation restores normal learning and memory in ApoE4 knock-in mice without or with Aβ accumulation.

Authors:  Leslie M Tong; Biljana Djukic; Christine Arnold; Anna K Gillespie; Seo Yeon Yoon; Max M Wang; Olivia Zhang; Johanna Knoferle; John L R Rubenstein; Arturo Alvarez-Buylla; Yadong Huang
Journal:  J Neurosci       Date:  2014-07-16       Impact factor: 6.167

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