This is an implementation of the Spreizer network in the Brian2Loihi Emulator. It is based on Leo Hiselius's Brian2 implementation of the Spreizer network.
Relies on a local version of the Brian2loihi emulator, which is included.
Try out the jupyter notebook to see how it works.
Parameters can be changed in loihi_spreizer_net/params. The network is downsized to 1/4 of the original, i.e. 3600 excitatory neurons and 900 inhibitory neurons like in Michaelis, Lehr, & Tetzlaff, 2020.
Noise input to the network generates sequential activity (see video in movies).