A Stochastic Dynamic Operator framework that improves the precision of analysis and prediction relative to the classical spike-triggered average method, extending the toolkit.
Trevor Smith, Maryam Abolfath-Beygi, Terence D. Sanger, Simon F. Giszter
The paper introduces the Stochastic Dynamic Operator (SDO) framework, which improves upon classical spike-triggered averaging by capturing state-dependent and probabilistic signal dynamics, and provides a toolkit for its application.
eNeuro · Oct 7, 2024Peer-reviewedNeuroscience