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Sunday, July 19 • 9:00pm - 10:00pm
P6: Inference of functional connectivity in living neural networks

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Sarah Marzen, Martina Lamberti, Michael Hess, Jacob Mehlman, Nadia Bolef, Denise Hernandez, Joost le Feber

In experiments with stimuli, we often wish to assess changes in connectivity between neurons as the experiment progresses. There are a number of methods for assessing connectivity with a variety of drawbacks, but it is not clear that these methods are connected to one another. Furthermore, it is not clear that these functional connectivities are connected to real synaptic connectivities. We present some evidence that functional connectivities from two disparate methods (Conditional Firing Probability analysis and Maximum Entropy analysis) and synaptic connectivities in one dynamical model (that of leaky integrate-and-fire neurons) are all related.
To talk to me during the poster session hour, please Zoom with:
Meeting ID: 511 196 0913Password: Marzen


Sarah Marzen

Assistant Professor of Physics, Pitzer, Scripps, and Claremont McKenna College
information theory and dynamical systems, with an emphasis on prediction

Sunday July 19, 2020 9:00pm - 10:00pm CEST
Slot 09