jaxley.synapses.Synapse

class Synapse(name=None)

Bases: object

Base class for a synapse.

As in NEURON, a Synapse is considered a point process, which means that its conductances are to be specified in uS and its currents are to be specified in nA.

Parameters:

name (str | None)

synapse_params = None

synapse_states = None

property name: str | None

change_name(new_name)

Change the synapse name.

Parameters:

new_name (str) – The new name of the channel.

Returns:

Renamed channel, such that this function is chainable.

update_states(delta_t, pre_voltage, post_voltage, params)

ODE update step.

Parameters:

• states (dict[str, Array]) – States of the synapse.

• delta_t (float) – Time step in ms.

• pre_voltage (Array | ndarray | bool | number | bool | int | float | complex) – Voltage of the presynaptic compartment, shape ().

• post_voltage (Array | ndarray | bool | number | bool | int | float | complex) – Voltage of the postsynaptic compartment, shape ().

• params (dict[str, Array]) – Parameters of the synapse. Conductances in uS.

Returns:

Updated states.

Return type:

dict[str, Array]

compute_current(pre_voltage, post_voltage, params)

Return current through one synapse in nA.

Internally, we use jax.vmap to vectorize this function across many synapses.

Parameters:

• states (dict[str, Array]) – States of the synapse.

• pre_voltage (Array | ndarray | bool | number | bool | int | float | complex) – Voltage of the presynaptic compartment, shape ().

• post_voltage (Array | ndarray | bool | number | bool | int | float | complex) – Voltage of the postsynaptic compartment, shape ().

• params (dict[str, Array]) – Parameters of the synapse. Conductances in uS.

Returns:

Current through the synapse in nA, shape ().

Return type:

Array