Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain

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.

• Publication year

  2008

• Venue

  Frontiers Neuroinformatics

• Publication date

  2008-01-30

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.3389/neuro.11.001.2008PMID 18974793PMCID 2525974
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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