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Topologically defined neuronal networks controlled by silicon chips [Elektronische Ressource] / Matthias Merz

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Max Planck Institut urf¨ BiochemieAbteilung Membran und NeurophysikTopologically Defined Neuronal NetworksControlled by Silicon ChipsMatthias MerzVollstandiger¨ Abdruck der von der Fakultat¨ fur¨ Physik der TechnischenUniversitat¨ Munchen¨ zur Erlangung des akademischen Grades einesDoktors der Naturwissenschaftengenehmigten Dissertation.Vorsitzender: Univ. Prof. Dr. J.L. van HemmenPrufer¨ der Dissertation: 1. Hon. Prof. Dr. P. Fromherz2. Univ. Prof. Dr. M. StutzmannDie Dissertation wurde am 24.11.2003 bei der Technischen Universitat¨ Munchen¨ eingereichtund durch die Fakultat¨ fur¨ Physik am 26.01.2004 angenommen.SummarySmall neuronal networks with defined synaptic connection patterns could provide a unique tool forstudying fundamental concepts in neuroscience, because they are much simpler than in vivo systemsand give easy access to individual neurons. Field effect transistors and capacitive stimulators imple mented on a semiconductor chip establish a non invasive neuron silicon interface, that enables the longterm supervision even of large neuronal assemblies.The present thesis addresses the experimental and technological aspects of network design. Based onexisting transistor chips a new device was processed for the specific requirements here. Small chip controlled networks were grown from neurons of the snail Lymnaea stagnalis and characterized.First, a new method for directing neurite outgrowth was developed.

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Published 01 January 2004
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Language English
Document size 24 MB