rockpool.nn.modules.torch

Modules using Torch as a backend

Modules

rockpool.nn.modules.torch.ahp_lif_torch	Implement a modified version of LIF Module (ahp, after hyperpolarization feedback, is added)), using a Torch backend
rockpool.nn.modules.torch.bool_state	A module implementing a boolean state variable
rockpool.nn.modules.torch.dropout	A module implementing random dropout of neurons and time steps
rockpool.nn.modules.torch.exp_syn_torch	Implement a exponential synapse module, using a Torch backend
rockpool.nn.modules.torch.lif_bitshift_torch	Implement a LIF Module with bit-shift decay, using a Torch backend
rockpool.nn.modules.torch.lif_neuron_torch	Implement a LIF Neuron Module, using a Torch backend
rockpool.nn.modules.torch.lif_torch	Implement a LIF Module, using a Torch backend
rockpool.nn.modules.torch.linear_torch	Implement a linear module, using a Torch backend
rockpool.nn.modules.torch.lowpass	"
rockpool.nn.modules.torch.rate_torch	Rate dynamics module with torch backend
rockpool.nn.modules.torch.torch_module	Provide a base class for build Torch-compatible modules
rockpool.nn.modules.torch.updown_torch	Feedforward layer that converts each analogue input channel to one spiking up and one down channel