LIFAdExParameters
LIFAdExParameters¶
- class norse.torch.functional.lif_adex.LIFAdExParameters(adaptation_current: torch.Tensor = tensor(4), adaptation_spike: torch.Tensor = tensor(0.0200), delta_T: torch.Tensor = tensor(0.5000), tau_ada_inv: torch.Tensor = tensor(2.), tau_syn_inv: torch.Tensor = tensor(200.), tau_mem_inv: torch.Tensor = tensor(100.), v_leak: torch.Tensor = tensor(0.), v_th: torch.Tensor = tensor(1.), v_reset: torch.Tensor = tensor(0.), method: str = 'super', alpha: float = 100.0)[source]¶
Parametrization of an Adaptive Exponential Leaky Integrate and Fire neuron
Default values from https://github.com/NeuralEnsemble/PyNN/blob/d8056fa956998b031a1c3689a528473ed2bc0265/pyNN/standardmodels/cells.py#L416
- Parameters:
adaptation_current (torch.Tensor): adaptation coupling parameter in nS adaptation_spike (torch.Tensor): spike triggered adaptation parameter in nA delta_T (torch.Tensor): sharpness or speed of the exponential growth in mV tau_syn_inv (torch.Tensor): inverse adaptation time
constant (\(1/\tau_\text{ada}\)) in 1/ms
- tau_syn_inv (torch.Tensor): inverse synaptic time
constant (\(1/\tau_\text{syn}\)) in 1/ms
- tau_mem_inv (torch.Tensor): inverse membrane time
constant (\(1/\tau_\text{mem}\)) in 1/ms
v_leak (torch.Tensor): leak potential in mV v_th (torch.Tensor): threshold potential in mV v_reset (torch.Tensor): reset potential in mV method (str): method to determine the spike threshold
(relevant for surrogate gradients)
alpha (float): hyper parameter to use in surrogate gradient computation
- adaptation_current: torch.Tensor¶
Alias for field number 0
- adaptation_spike: torch.Tensor¶
Alias for field number 1
- alpha: float¶
Alias for field number 10
- count(value, /)¶
Return number of occurrences of value.
- delta_T: torch.Tensor¶
Alias for field number 2
- index(value, start=0, stop=9223372036854775807, /)¶
Return first index of value.
Raises ValueError if the value is not present.
- method: str¶
Alias for field number 9
- tau_ada_inv: torch.Tensor¶
Alias for field number 3
- tau_mem_inv: torch.Tensor¶
Alias for field number 5
- tau_syn_inv: torch.Tensor¶
Alias for field number 4
- v_leak: torch.Tensor¶
Alias for field number 6
- v_reset: torch.Tensor¶
Alias for field number 8
- v_th: torch.Tensor¶
Alias for field number 7