2026-10-12
PSE R-STDP 3.0.0 beta
How does a brain learn from reward? PSE R-STDP lets you watch it happen on a small spiking network. It runs reward-modulated spike-timing-dependent plasticity experiments from the command line, in phases and seeds you control, and ships a self-test so you can trust the numbers before you trust the conclusions. A compact, reproducible lab for reward-driven learning, numpy and nothing else. Free and open source (GPL-3.0), for Ubuntu and Windows. Release notes
What PSE does here: PSE's Care Invariant is the neuromodulator: the third factor that decides how far back a reward can assign credit.