Package topo :: Package outputfns :: Module basic :: Class NakaRushton

Class NakaRushton

                                  object --+        
                                           |        
base.parameterizedobject.ParameterizedObject --+    
                                               |    
                  base.functionfamilies.OutputFn --+
                                                   |
                                                  NakaRushton

Naka-Rushton curve.

From Naka, K. and Rushton, W. (1996), S-potentials from luminosity units in the retina of fish (Cyprinidae). J. Physiology 185:587-599.

The Naka-Rushton curve has been shown to be a good approximation of constrast gain control in cortical neurons. The input of the curve is usually contrast, but under the assumption that the firing rate of a model neuron is directly proportional to the contrast, it can be used as an OutputFn for a Sheet.

The parameter c50 corresponds to the contrast at which the half of the maximal output is reached. For a Sheet OutputFn this translates to the input for which a neuron will respond with activity 0.5.

Nested Classes

[hide private]

Inherited from base.parameterizedobject.ParameterizedObject: __metaclass__

Instance Methods

[hide private]

__call__(self, x)

source code

Inherited from base.functionfamilies.OutputFn: __add__

Inherited from base.parameterizedobject.ParameterizedObject: __getstate__, __init__, __repr__, __setstate__, __str__, as_uninitialized, debug, defaults, force_new_dynamic_value, get_param_values, get_value_generator, inspect_value, message, print_param_values, script_repr, verbose, warning

Inherited from base.parameterizedobject.ParameterizedObject (private): _check_params, _instantiate_param, _set_name, _setup_params

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

Class Methods

[hide private]

Inherited from base.parameterizedobject.ParameterizedObject: params, print_param_defaults

Class Variables

[hide private]

c50 = Number(default= 0.1, doc= ...
The input of the neuron at which it responds at half of its maximal firing rate (1.0).

e = Number(default= 1.0, doc= """The exponent of the input x.""")
The exponent of the input x.

Inherited from base.functionfamilies.OutputFn: norm_value

Inherited from base.parameterizedobject.ParameterizedObject: name, print_level

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

call(self, x)
(Call operator)

source code

Overrides: base.functionfamilies.OutputFn.__call__

Class Variable Details

[hide private]

c50

The input of the neuron at which it responds at half of its maximal firing rate (1.0).

Value:

Number(default= 0.1, doc= """
        The input of the neuron at which it responds at half of its maximal firing
 rate (1.0).""")

Class NakaRushton

__call__(self, x) (Call operator)

c50

call(self, x)
(Call operator)