Titlebook: Computational Systems Neurobiology; N. Le Novère Book 2012 Springer Science+Business Media Dordrecht 2012 computational neurobiology.dynam

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Methodological Issues in Modelling at Multiple Levels of Description, complex systems we know of. All these factors conspire to make the status, and process, of building models in these areas problematic. Oftentimes modellers make tacit assumptions about their general approach, but we would argue that such assumptions should be explicit, and that establishing sound m

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Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity,nectivity make it difficult, if not impossible, to perform realistic simulations of activity at millimetre range or beyond. Furthermore, it is becoming increasingly clear that a range of non-neuronal and stochastic factors influence neuronal excitability, and must be taken into account when developi

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Axonal Growth and Targeting,les. Correct axonal guidance involves directing the tips of individual axons and their branches, interactions between branches of a single axon, and interactions between axons of different neurons. In this chapter, we describe examples of models operating at and between each of these scales.

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NeuroML,etworks of such cells positioned and synaptically connected in 3D can also be described. In this chapter we present an overview of the history of NeuroML, a brief description of the current version of the language, plans for future developments and the relationship to other standardisation initiativ

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Franz Wever,Wilhelm Wink,Werner Jellinghausroughput technologies such as microarrays and data analysis. The power of this approach allowed to study complex biological functions as well as diseases. In this chapter, we introduce functional genomics and describe the statistical methods that are used to find differentially expressed genes. We a

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