Artifact identification in transfer entropy connectivity inference of neuronal cultures
Mikel Ocio-Moliner, Angelo Piga, Jordi Soriano · FENS Forum 2024
The analysis of effective connectivity in neuronal networks has become an essential tool for understanding the underlying mechanisms of information transfer in neural circuits. However, its interpretation is not always straightforward, and it can be masked by the presence of artifacts.We scrutinized calcium imaged data from in vitro neuronal cultures grown of PDMS-engineered patterns using a transfer entropy algorithm [1]. Initial analyses revealed the presence of spurious correlations which hampered the actual underlying network. The origin of these artifacts lays on the delicate interplay be
ePoster · Neuroscience