Abstract
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 caused by long-term application of neuroactive substances. This results in quasi-stable patterns of neuronal activity. Based on the data, different features [2] are calculated adapted from spikes and bursts and separately displayed in concentration-response curves [3]. These concentration-response curves can exhibit non sigmoid shape, then indicating that different mechanisms affect the neuronal activity. Hence, the concentration-response curves presumably include currently hidden and unused information.
Highlights
We aim to fit biphasic concentration-response curves to extract information about the effect of given biochemical substances to in-vitro neurons
The concentration-response curve under consideration is given as mean spike rate depending on the logarithm of concentration
The fitting parameters gained with this method exhibit new features describing the effect of neuroactive substances in a new way
Summary
We aim to fit biphasic concentration-response curves to extract information about the effect of given biochemical substances to in-vitro neurons. The activity of single neurons in such networks is recorded especially the change of network activity caused by long-term application of neuroactive substances. This results in quasi-stable patterns of neuronal activity. Different features [2] are calculated adapted from spikes and bursts and separately displayed in concentration-response curves [3]. These concentration-response curves can exhibit non sigmoid shape, indicating that different mechanisms affect the neuronal activity. The concentration-response curves presumably include currently hidden and unused information
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