We propose a method to extract connectivity between neurons for extracellularly
recorded multiple spike trains. The method removes pseudo-correlation caused by propagation of
information along an indirect pathway, and is also robust against the in
uence from unobserved
neurons. The estimation algorithm consists of iterations of a simple matrix inversion, which is
scalable to large data sets. The performance is examined by synthetic spike data.