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. 2008 Apr 2:2:1.
doi: 10.3389/neuro.11.001.2008. eCollection 2008.

Large-scale modeling - a tool for conquering the complexity of the brain

Mikael Djurfeldt  1 , Orjan Ekeberg, Anders Lansner
Affiliations

Large-scale modeling - a tool for conquering the complexity of the brain

Mikael Djurfeldt et al. Front Neuroinform. .

Abstract

Is there any hope of achieving a thorough understanding of higher functions such as perception, memory, thought and emotion or is the stunning complexity of the brain a barrier which will limit such efforts for the foreseeable future? In this perspective we discuss methods to handle complexity, approaches to model building, and point to detailed large-scale models as a new contribution to the toolbox of the computational neuroscientist. We elucidate some aspects which distinguishes large-scale models and some of the technological challenges which they entail.

Keywords: brain; computational neuroscience; cortex; large-scale model; modeling methodology; parallel computing; simulation; subsampling.

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Figures

Figure 1
Figure 1
Membrane potential of Lamprey locomotor CPG excitatory interneuron (EIN) plotted against time. (A) Recording from live animal. (B) Simulation with one modeled EIN per hemisegment. (C) Simulation with 30 modeled EINs per hemisegment.
See this image and copyright information in PMC

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