Print Email Facebook Twitter The Spike app: A programable neuron to stimulate brain slices in electrophysiology Title The Spike app: A programable neuron to stimulate brain slices in electrophysiology Author Jimenez Soto, H.S. Contributor Serdijn, W. (mentor) Van Dongen, M. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Electrical Power Engineering Programme BME Date 2013-11-29 Abstract Methods to stimulate living neurons in electrophysiological experiments involve the use of nerve stimulators that output deterministic patterns fixed at a certain frequency. Thus, they are unable to generate realistic sequences of action potentials to stimulate living neurons. By emulating firing patterns of excitable cells we are able to give electrical stimulation to the cells with more biological relevance during electrophysiological experiments. Two methods are proposed in this thesis. The first one is the spike generator system, which is based on the Leaky-Integrate and-Fire (LIF) neuron model used to stimulate brain slices in electrophysiological trials. The second is an analog electronic neuron, based on the same neuronal model. It aims to demonstrate the concept employed in software but in hardware and facilitated comparisons between the two methods. According to the experimental results cell activation is observed and shows more physiological response to the stimulation provided by the spike generator than the deterministic stimuli of a typical nerve stimulator. For that reason, the spike generator system can be used as a pulse generator in electrophysiology for brain slices. Subject nueral emulatorIntegrate-and-Fireelectrical stimulationanalog neuron To reference this document use: http://resolver.tudelft.nl/uuid:5db873a4-32f5-4185-8803-d7193c09338e Embargo date 2013-12-09 Part of collection Student theses Document type master thesis Rights (c) 2013 Jimenez Soto, H.S. Files PDF Thesis_Horacia_Jimenez.pdf 2.83 MB Close viewer /islandora/object/uuid:5db873a4-32f5-4185-8803-d7193c09338e/datastream/OBJ/view