Download The Computing Dendrite: From Structure to Function by Hermann Cuntz, Michiel W.H. Remme, Benjamin Torben-Nielsen PDF

By Hermann Cuntz, Michiel W.H. Remme, Benjamin Torben-Nielsen

Neuronal dendritic timber are complicated buildings that endow the mobilephone with strong computing services and make allowance for prime neural interconnectivity. learning the functionality of dendritic buildings has an extended culture in theoretical neuroscience, beginning with the pioneering paintings via Wilfrid Rall within the Fifties. fresh advances in experimental concepts let us learn dendrites with a brand new viewpoint and in larger element. The target of this quantity is to supply a résumé of the cutting-edge in experimental, computational, and mathematical investigations into the services of dendrites in quite a few neural systems.

The booklet first appears at morphological houses of dendrites and summarizes the ways to degree dendrite morphology quantitatively and to really generate man made dendrite morphologies in desktop versions. This morphological characterization levels from the learn of fractal rules to explain dendrite topologies, to the implications of optimization rules for dendrite form. person methods are accumulated to review the elements of dendrite form that relate on to underlying circuit constraints and computation.

The moment major subject makes a speciality of how dendrites give a contribution to the computations that neurons practice. What position do dendritic morphology and the distributions of synapses and membrane houses over the dendritic tree have in picking out the output of a neuron based on its enter? quite a lot of experiences is introduced jointly, with issues starting from common to system-specific phenomena—some having a powerful experimental part, and others being totally theoretical. The experiences come from many various neural structures and animal species starting from invertebrates to mammals. With this vast concentration, an summary is given of the range of mechanisms that dendrites can hire to form neural computations.

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Brain Res 576:152–156 Oberlaender M, Boudewijns ZSRM, Kleele T et al (2011) Three-dimensional axon morphologies of individual layer 5 neurons indicate cell type-specific intracortical pathways for whisker motion and touch. Proc Natl Acad Sci USA 108:4188–4193 Oberlaender M, De Kock CPJ, Bruno RM et al (2012) Cell type-specific three-dimensional structure of thalamocortical circuits in a column of rat vibrissal cortex. Cereb Cortex 22:2375–2391 Peng H, Ruan Z, Long F et al (2010) V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets.

Cuntz Gleeson P, Crook S, Cannon RC et al (2010) NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS Comput Biol 6:e1000815 Helmstaedter M, Briggman KL, Denk W (2011) High-accuracy neurite reconstruction for high-throughput neuroanatomy. Nat Neurosci 14:1081–1088 Hentschel HG, Fine A (1996) Diffusion-regulated control of cellular dendritic morphogenesis. Proc Biol Sci 263:1–8 Hepburn I, Chen W, Wils S, De Schutter E (2012) STEPS: efficient simulation of stochastic reaction—diffusion models in realistic morphologies.

2011). Fascin is another downstream effector of Cut. Fascin is a conserved actin-bundling protein, typically associated with filopodia particularly in motile cells, including fly blood cells and metastasizing cancer cells (Zanet et al. 2009; Machesky and Li 2010). In da neurons, it is a specific marker of the short straight terminal branchlets of class III neurons and is required for their formation (Nagel et al. 2012). Fascin is not detected in the dendrites of low-Cut class I neurons. Nonetheless, when Cut is overexpressed in class I neurons, their dendrites become decorated with class III neuron-type short straight branchlets that are now marked by the presence of fascin.

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