Kerstin Lenk

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We aim to fit biphasic concentration-response curves to extract information about the effect of given biochemical substances to in-vitro neurons. Neurons extracted from embryonic mice are cultivated on multielectrode-array-neurochips (MEA-neurochip) [1]. The activity of single neurons in such networks is recorded especially the change of network activity(More)
OBJECTIVE The mechanism underlying exercise intolerance in chronic heart failure is still unclear. An increased concentration of inflammatory cytokines could be detected in the serum of patients with chronic heart failure (CHF) exhibiting a correlation with the severity of the disease. The variety of molecular alterations triggered by these cytokines in the(More)
Synchrony and asynchrony are essential aspects of the functioning of interconnected neuronal cells and networks. New information on neuronal synchronization can be expected to aid in understanding these systems. Synchronization provides insight in the functional connectivity and the spatial distribution of the information processing in the networks.(More)
Neuronal networks are often studied in vitro using micro-electrode arrays (MEAs), where neurons are cultured on top of an electrode grid, and the action potentials can be recorded. This way the electrical activity of the network can be inspected at multiple locations simultaneously, which enables the studying of network behavior. A typical MEA has 60 of(More)
Our aim is to develop a simple model which is suitable to simulate concentration-response curves as observed in in-vitro experiments with multielectrode array (MEA) neurochips. In an in-vitro experiment approximately 10.000 neurons of the frontal cortex of embryonic mice [1] are cultivated on a MEA neurochip [2]. Neuro-active substances like bicuculline are(More)
BACKGROUND Microelectrode array (MEA) is a widely used technique to study for example the functional properties of neuronal networks derived from human embryonic stem cells (hESC-NN). With hESC-NN, we can investigate the earliest developmental stages of neuronal network formation in the human brain. METHODS In this paper, we propose an in silico model of(More)