API REFERENCE

• network
  • Network
    • Network.spiking_model
    • Network.analog_model
    • Network.input_shape
    • Network.synops
    • Network.compare_activations()
    • Network.forward()
    • Network.get_synops()
    • Network.plot_comparison()
    • Network.reset_states()
    • Network.zero_grad()
• layers
  • Parent layers
    • StatefulLayer
      • StatefulLayer
        • StatefulLayer.arg_dict
        • StatefulLayer.does_spike
        • StatefulLayer.forward()
        • StatefulLayer.handle_state_batch_size_mismatch()
        • StatefulLayer.has_trailing_dimension()
        • StatefulLayer.init_state_with_shape()
        • StatefulLayer.is_state_initialised()
        • StatefulLayer.reset_states()
        • StatefulLayer.state_has_shape()
        • StatefulLayer.zero_grad()
    • SqueezeMixin
      • SqueezeMixin
  • Spiking
    • IAF
      • IAF
        • IAF.v_mem
        • IAF.i_syn
        • IAF.alpha_mem_calculated
    • IAFSqueeze
      • IAFSqueeze
        • IAFSqueeze.v_mem
        • IAFSqueeze.i_syn
        • IAFSqueeze.forward()
    • IAFRecurrent
      • IAFRecurrent
        • IAFRecurrent.v_mem
        • IAFRecurrent.i_syn
        • IAFRecurrent.alpha_mem_calculated
    • LIF
      • LIF
        • LIF.v_mem
        • LIF.i_syn
        • LIF.alpha_mem_calculated
        • LIF.alpha_syn_calculated
        • LIF.forward()
        • LIF.tau_mem_calculated
        • LIF.tau_syn_calculated
    • LIFSqueeze
      • LIFSqueeze
        • LIFSqueeze.v_mem
        • LIFSqueeze.i_syn
        • LIFSqueeze.forward()
    • LIFRecurrent
      • LIFRecurrent
        • LIFRecurrent.v_mem
        • LIFRecurrent.i_syn
        • LIFRecurrent.forward()
    • ALIF
      • ALIF
        • ALIF.v_mem
        • ALIF.i_syn
        • ALIF.b
        • ALIF.spike_threshold
        • ALIF.alpha_adapt_calculated
        • ALIF.alpha_mem_calculated
        • ALIF.alpha_syn_calculated
        • ALIF.forward()
    • ALIFRecurrent
      • ALIFRecurrent
        • ALIFRecurrent.v_mem
        • ALIFRecurrent.i_syn
        • ALIFRecurrent.b
        • ALIFRecurrent.spike_threshold
        • ALIFRecurrent.forward()
  • Non-spiking
    • ExpLeak
      • ExpLeak
    • ExpLeakSqueeze
      • ExpLeakSqueeze
        • ExpLeakSqueeze.v_mem
        • ExpLeakSqueeze.i_syn
        • ExpLeakSqueeze.forward()
  • Pooling
    • SpikingMaxPooling2dLayer
      • SpikingMaxPooling2dLayer
        • SpikingMaxPooling2dLayer.forward()
        • SpikingMaxPooling2dLayer.get_output_shape()
    • SumPool2d
      • SumPool2d
  • Conversion from images / analog signals
    • Img2SpikeLayer
      • Img2SpikeLayer
        • Img2SpikeLayer.forward()
    • Sig2SpikeLayer
      • Sig2SpikeLayer
        • Sig2SpikeLayer.forward()
  • Auxiliary
    • Cropping2dLayer
      • Cropping2dLayer
        • Cropping2dLayer.forward()
        • Cropping2dLayer.get_output_shape()
    • Repeat
      • Repeat
        • Repeat.forward()
    • FlattenTime
      • FlattenTime
    • UnflattenTime
      • UnflattenTime
        • UnflattenTime.forward()
  • ANN layers
    • NeuromorphicReLU
      • NeuromorphicReLU
        • NeuromorphicReLU.forward()
    • QuantizeLayer
      • QuantizeLayer
        • QuantizeLayer.forward()
• activation
  • Spike Generation
    • SingleSpike
      • SingleSpike
    • MultiSpike
      • MultiSpike
    • MaxSpike
      • MaxSpike
  • Reset Mechanisms
    • MembraneReset
      • MembraneReset
    • MembraneSubtract
      • MembraneSubtract
  • Surrogate Gradient Functions
    • SingleExponential
      • SingleExponential
    • PeriodicExponential
      • PeriodicExponential
    • Heaviside
      • Heaviside
    • Gaussian
      • Gaussian
    • MultiGaussian
      • MultiGaussian
• from_torch
  • from_model()
• SynOpCounter
  • SNNAnalyzer
    • SNNAnalyzer
      • SNNAnalyzer.get_layer_statistics()
      • SNNAnalyzer.get_model_statistics()
  • SynOpCounter
    • SynOpCounter
• utils
  • reset_states()
  • zero_grad()
  • get_activations()
  • get_network_activations()
  • normalize_weights()
  • set_batch_size()