A simulation framework for acute extracellular recordings
Philipp Meier (TU Berlin, Neural Information Processing Group), Felix Franke (ETH Zürich, D-BSSE, Bio Engineering Laboratory (BEL)), Espen Hagen (UMB, Dept. Mathematichal Sciences and Technology), Gaute Einevoll (UMB, Dept. Mathematichal Sciences and Technology), Klaus Obermayer (TU Berlin, Neural Information Processing Group)
Here we devloped a simulation framework for acute extracellular recordings. Neurons and electrodes are modelled as objects in a spatio-temporal state space. A generative data model allows to construct putative voltage traces at electrode positions, as the superposition of time-and-distant-dependant characteristic waveforms of the simulated single neurons. All objects may be positioned arbitrarily during the simulation. This kind of framework allows to simulate acute experimental conditions and provides grounds to evaluate feedback-dependant algorithms (positioning systems, online/adaptive spikesorting). The simulated data was found to resemble data acquired from acute extracellular recordings from PFC of awake behaving maquac.