ExpSyn

class braincell.synapse.ExpSyn(size, name=None, tau=Quantity(0.1, 'ms'), e=Quantity(0., 'mV'))

NEURON-compatible ExpSyn template.

This class follows the dynamics in NEURON’s expsyn.mod:

• state: g in uS

• decay: g' = -g / tau

• step-boundary event: g <- g + weighted_pre_drive

• inward-positive point current: I = g * (e - V_post)

Parameters:

• size (int | Sequence[int] | integer | Sequence[integer]) – Packed synapse shape.

• name (str | None) – Runtime node name.

• tau (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Positive decay time constant, default 0.1 ms.

• e (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Reversal voltage, default 0 mV.

apply_events(payload, V_post=None)

Apply one already-aggregated event payload vector.

compute_derivative(V_post=None)

Compute the derivative of the channel’s state variables.

This method should be implemented by subclasses to calculate how the channel’s state changes over time.

Parameters:

• *args – Variable length argument list.

• **kwargs – Arbitrary keyword arguments.

Raises:

NotImplementedError – This method must be implemented by subclasses.

current(V_post)

Calculate the current for this ion channel.

This method should be implemented by subclasses to compute the current based on the channel’s specific properties and state.

Parameters:

• *args – Variable length argument list.

• **kwargs – Arbitrary keyword arguments.

Raises:

NotImplementedError – This method must be implemented by subclasses.

root_type

alias of HHTypedNeuron

classmethod validate_parameter_values(parameters)

Require a positive decay time constant.