DocumentCode
2103577
Title
Towards a large-scale biologically realistic model of the hippocampus
Author
Hendrickson, P.J. ; Yu, G.J. ; Robinson, Brian S. ; Dong Song ; Berger, Theodore W.
Author_Institution
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
4595
Lastpage
4598
Abstract
Real neurobiological systems in the mammalian brain have a complicated and detailed structure, being composed of 1) large numbers of neurons with intricate, branching morphologies - complex morphology brings with it complex passive membrane properties; 2) active membrane properties - nonlinear sodium, potassium, calcium, etc. conductances; 3) non-uniform distributions throughout the dendritic and somal membrane surface of these non-linear conductances; 4) non-uniform and topographic connectivity between pre- and post-synaptic neurons; and 5) activity-dependent changes in synaptic function. One of the essential, and as yet unanswered questions in neuroscience is the role of these fundamental structural and functional features in determining “neural processing” properties of a given brain system. To help answer that question, we´re creating a large-scale biologically realistic model of the intrinsic pathway of the hippocampus, which consists of the projection from layer II entorhinal cortex (EC) to dentate gyrus (DG), EC to CA3, DG to CA3, and CA3 to CA1. We describe the computational hardware and software tools the model runs on, and demonstrate its viability as a modeling platform with an EC-to-DG model.
Keywords
brain models; neurophysiology; EC-to-DG model; branching morphology; dendritic membrane surface; hippocampus; large scale biologically realistic model; mammalian brain; postsynaptic neurons; presynaptic neurons; real neurobiological systems; somal membrane surface; synaptic function; Biological system modeling; Biomembranes; Computational modeling; Hippocampus; Morphology; Neurons; Action Potentials; Animals; Computer Simulation; Hippocampus; Humans; Models, Anatomic; Models, Neurological; Nerve Net; Neural Pathways; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6346990
Filename
6346990
Link To Document