Simple, biologically-constrained CA1 pyramidal cell models using an intact, whole hippocampus context

Pyramidal cell Network model
DOI: 10.12688/f1000research.3894.2 Publication Date: 2015-06-03T11:35:52Z
ABSTRACT
<ns4:p>The hippocampus is a heavily studied brain structure due to its involvement in learning and memory. Detailed models of excitatory, pyramidal cells have been developed using range experimental data. These used help us understand, for example, the effects synaptic integration voltage gated channel densities distributions on cellular responses. However, these outputs need be considered from perspective networks which they are embedded. Using modeling approaches, if representations too detailed, it quickly becomes computationally unwieldy explore large network simulations. Thus, simple preferable, but at same time clear, basis so as allow physiologically based understandings emerge. In this article, we describe development CA1 cells, derived well-defined context an intact, whole preparation expressing population oscillations. intrinsic properties frequency-current profiles can build, fully examine, analyze networks.</ns4:p>
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