AMPA

class braincell.synapse.AMPA(size, alpha=Quantity(0.98, 'kHz'), beta=Quantity(0.18, 'kHz'), T=0.5, g_max=Quantity(1., 'mS / cm^2'), E_rev=Quantity(0., 'mV'), name=None)

Single-exponential AMPA synapse.

Parameters:

• size (int | Sequence[int] | integer | Sequence[integer]) – Point-space target shape.

• alpha (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Rise rate in ms^-1.

• beta (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Decay rate in ms^-1.

• T (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Presynaptic scaling factor.

• g_max (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Maximum synaptic conductance.

• E_rev (Array | ndarray | bool | number | bool | int | float | complex | Quantity | Callable) – Reversal potential of the synapse.

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

compute_derivative(V_post=None)

Advance one timestep of synaptic conductance dynamics.

current(V_post)

Return the postsynaptic point current.

init_state(V_post=None, batch_size=None)

Initialize synaptic state.

reset_state(V_post=None, batch_size=None)

Reset synaptic state.

root_type

alias of HHTypedNeuron