ePoster · Neuroscience
A causal inference model of spike train interactions in fast response regimes
Zachary Saccomano & Asohan Amarasingham · COSYNE 2023
Fri, Mar 10, 2023
The idea of estimating synaptic connectivity and strength from parallel spike trains has been entertained since the late 1960s, but the last few years have seen a resurgence in proposed methods. A majority of model-free techniques estimate synaptic coupling via a “separation of timescales” (SOT) principle applied to the cross-correlogram (CCG). That is, a joint distribution is implicitly specified on paired spike trains where it is common to include a fast timescale component (modeling synaptic coupling) and a coarse timescale component (modeling network effects). Such models provide insights