spynnaker.pyNN.models.neural_properties package

Module contents

class spynnaker.pyNN.models.neural_properties.NeuronParameter(value, data_type)

Bases: object

A settable parameter of a neuron model.

Parameters:

• value (int or float or bool or list(int) or list(float) or list(bool) or ndarray or AbstractList) – what the value of the parameter is; if a list or array, potentially provides a different value for each neuron

• data_type (DataType) – The serialization type of the parameter in the neuron model.

get_dataspec_datatype()

Get the serialization type of the parameter in the neuron model.

Return type:

DataType

get_value()

What the value of the parameter is; if a list or array, potentially provides a different value for each neuron.

Return type:

int or float or bool or list(int) or list(float) or list(bool) or ndarray or AbstractList

iterator_by_slice(slice_start, slice_stop, spec)

Creates an iterator over the commands to use to write the parameter to the data specification being generated.

Parameters:

• slice_start (int) – Inclusive start of the range

• slice_stop (int) – Exclusive end of the range

• spec (DataSpecificationGenerator) –

  The data specification to eventually write to.

  Note

  This does not actually do the write.

Returns:

Iterator that produces a command to write to the specification for each element in the slice.

Return type:

iterator(tuple(bytearray, str))