Package topo :: Package transferfn :: Module basic :: Class NakaRushton
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Class NakaRushton

source code


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 a TransferFn for a Sheet.

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

Nested Classes [hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods [hide private]
 
__call__(self, x) source code

Inherited from param.parameterized.Parameterized: __getstate__, __init__, __repr__, __setstate__, __str__, debug, defaults, force_new_dynamic_value, get_param_values, get_value_generator, inspect_value, message, print_param_values, script_repr, set_default, set_dynamic_time_fn, set_param, state_pop, state_push, verbose, warning

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]
  c50 = param.Number(default= 0.1, doc= ...
The input of the neuron at which it responds at half of its maximal firing rate (1.0).
  e = param.Number(default= 1.0, doc= """The exponent of the inp...
The exponent of the input x.
  name = <param.parameterized.String object at 0xb58922c>
String identifier for this object.

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]

__call__(self, x)
(Call operator)

source code 
Overrides: base.functionfamily.TransferFn.__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:
param.Number(default= 0.1, doc= """
        The input of the neuron at which it responds at half of its maximal firing\
 rate (1.0).""")

e

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