brainpy.dyn.channels.Calcium#

class brainpy.dyn.channels.Calcium(size, method='exp_auto', name=None, **channels)[source]#

The base calcium dynamics.

Parameters
  • size (int, sequence of int) – The size of the simulation target.

  • method (str) – The numerical integration method.

  • name (str) – The name of the object.

  • **channels – The calcium dependent channels.

__init__(size, method='exp_auto', name=None, **channels)[source]#

Methods

__init__(size[, method, name])

current(V[, C_Ca, E_Ca])

get_delay_data(name, delay_step, *indices)

Get delay data according to the provided delay steps.

has(**children_cls)

The aggressive operation to gather master and children classes.

ints([method])

Collect all integrators in this node and the children nodes.

load_states(filename[, verbose])

Load the model states.

nodes([method, level, include_self])

Collect all children nodes.

register_delay(name, delay_step, delay_target)

Register delay variable.

register_implicit_nodes(nodes)

register_implicit_vars(variables)

reset(V)

Reset function which reset the whole variables in the model.

save_states(filename[, variables])

Save the model states.

train_vars([method, level, include_self])

The shortcut for retrieving all trainable variables.

unique_name([name, type_])

Get the unique name for this object.

update(t, dt, V)

Update function of a container.

vars([method, level, include_self])

Collect all variables in this node and the children nodes.

Attributes

global_delay_targets

global_delay_vars

name

steps