rockpool.nn.layers

Package of converted layers from Rockpool v1

Modules

rockpool.nn.layers.event_pass	Pass-through layer that weights events
rockpool.nn.layers.exp_synapses_brian	Spike-to-current layer with exponential synapses, with a Brian2 backend
rockpool.nn.layers.iaf_brian	IAF neurons layers with Brian2 backend
rockpool.nn.layers.layer	Layer v1 base class for Rockpool layers
rockpool.nn.layers.spike_ads	Implement the layer for the NetworkADS (Arbitrary Dynamical System), which is capable of learning an arbitrary dynamical system.
rockpool.nn.layers.spike_bt	A back-tick precise spike time recurrent layer, with fast and slow synapses
rockpool.nn.layers.updown	Feedforward layer that converts each analogue input channel to one spiking up and one down channel