engine.neuron.spiking

Spiking neurons emit all-or-none events once their numeric state surpasses a critical threshold.

Spiking neurons inherit all properties of their parent class Neuron. In addition to voltage, they also own the binary integer tensor spiked, which maintains their emitted action potentials.

class engine.neuron.spiking.SpikingNeuron(**kwargs)

Generic spiking neuron.

Defines instance attributes shared by all derived spiking neuron classes.

Parameters:

spiked (Tensor) – A binary representation of spike events, registered as a PyTorch buffer.

forward(data: Tensor) → dict

Processes an input, updates the state of this component, and advances the simulation by one step.

Parameters:

data (Tensor) – Input to be processed (e.g., added to a neuron’s numeric state tensor voltage).

Returns:

A dictionary whose keys are loggable attributes and whose values are their states as of this time step. For potential use by a SimpleSimulator or any other Pipeline script handling runtime operations.

Return type:

dict

Raises:

NotImplementedError – The forward method must be implemented by each derived class.

Modules

engine.neuron.spiking.IZ	Izhikevich neuron model (IZ).
engine.neuron.spiking.LIF	Leaky Integrate-and-Fire neuron model (LIF).