Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

Class Methods

[hide private]

Inherited from param.parameterized.Parameterized: params, print_param_defaults

Class Variables

[hide private]

target_activity = param.Number(default= 0.024, doc= ...
The target average activity.

linear_slope = param.Number(default= 1.0, doc= ...
Slope of the linear portion above threshold.

t_init = param.Number(default= 0.15, doc= ...
Initial value of the threshold.

learning_rate = param.Number(default= 0.001, doc= ...
Learning rate for homeostatic plasticity.

smoothing = param.Number(default= 0.999, doc= ...
Weighting of previous activity vs.

randomized_init = param.Boolean(False, doc= ...
Whether to randomize the initial t parameter.

noise_magnitude = param.Number(default= 0.1, doc= ...
The magnitude of the additive noise to apply to the t_init parameter at initialization.

name = <param.parameterized.String object at 0xb5892ac>
String identifier for this object.

Inherited from basic.TransferFnWithState: plastic

Inherited from base.functionfamily.TransferFn: norm_value

Inherited from param.parameterized.Parameterized: print_level

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, **params)
(Constructor)

source code

x.__init__(...) initializes x; see x.__class__.__doc__ for signature

Overrides: object.__init__: (inherited documentation)

call(self, x)
(Call operator)

source code

Overrides: base.functionfamily.TransferFn.__call__

state_push(self)

source code

Save this instance's state.

For Parameterized instances, this includes the state of dynamically generated values.

Subclasses that maintain short-term state should additionally save and restore that state using state_push() and state_pop().

Generally, this method is used by operations that need to test something without permanently altering the objects' state.

Overrides: param.parameterized.Parameterized.state_push: (inherited documentation)

state_pop(self)

source code

Restore the most recently saved state.

See state_push() for more details.

Overrides: param.parameterized.Parameterized.state_pop: (inherited documentation)

Class Variable Details

[hide private]

target_activity

The target average activity.

Value:

param.Number(default= 0.024, doc= """
        The target average activity.""")

linear_slope

Slope of the linear portion above threshold.

Value:

param.Number(default= 1.0, doc= """
        Slope of the linear portion above threshold.""")

t_init

Initial value of the threshold.

Value:

param.Number(default= 0.15, doc= """
        Initial value of the threshold.""")

learning_rate

Learning rate for homeostatic plasticity.

Value:

param.Number(default= 0.001, doc= """
        Learning rate for homeostatic plasticity.""")

smoothing

Weighting of previous activity vs. current activity when calculating the average.

Value:

param.Number(default= 0.999, doc= """
        Weighting of previous activity vs. current activity when
        calculating the average.""")

randomized_init

Whether to randomize the initial t parameter.

Value:

param.Boolean(False, doc= """
        Whether to randomize the initial t parameter.""")

noise_magnitude

The magnitude of the additive noise to apply to the t_init parameter at initialization.

Value:

param.Number(default= 0.1, doc= """
        The magnitude of the additive noise to apply to the t_init
        parameter at initialization.""")

Class HomeostaticResponse

__init__(self, **params) (Constructor)

__call__(self, x) (Call operator)

state_push(self)

state_pop(self)

target_activity

linear_slope

t_init

learning_rate

smoothing

randomized_init

noise_magnitude

init(self, **params)
(Constructor)

call(self, x)
(Call operator)