CurrentMixin¶

class CurrentMixin(currents: Tensor, interpolation: Interpolation, interp_kwargs: dict[str, Any], overbound: float | None, tolerance: float)[source]¶

Mixin for synapses with current primitive.

Parameters:

data (torch.Tensor) – initial synaptic currents, in \(\text{nA}\).
interpolation (Interpolation) – interpolation function used when selecting prior currents.
interp_kwargs (dict[str, Any]) – keyword arguments passed into the interpolation function.
overbound (float | None) – value to replace currents out of bounds, uses values at observation limits if None.
tolerance (float) – maximum difference in time from an observation to treat as co-occurring, in \(\text{ms}\).

property current: Tensor¶

Currents of the synapses at present, in nanoamperes.

current_at(selector: Tensor) → Tensor[source]¶

Retrieves previous synaptic currents, in nanoamperes.

Parameters:: selector (torch.Tensor) – time before present for which synaptic currents should be retrieved, in \(\text{ms}\).
Returns:: selected synaptic currents.
Return type:: torch.Tensor

Shape

selector:

\(B \times N_0 \times \cdots \times [D]\)

return:

\(B \times N_0 \times \cdots \times [D]\)

Where: