spynnaker.pyNN.models.neuron.threshold_types package¶

Module contents¶

class spynnaker.pyNN.models.neuron.threshold_types.AbstractThresholdType(data_types)[source]¶

Bases: spynnaker.pyNN.models.neuron.implementations.abstract_standard_neuron_component.AbstractStandardNeuronComponent

Represents types of threshold for a neuron (e.g., stochastic).

Parameters:	data_types (list(DataType)) – A list of data types in the component structure, in the order that they appear

class spynnaker.pyNN.models.neuron.threshold_types.ThresholdTypeStatic(v_thresh)[source]¶

Bases: spynnaker.pyNN.models.neuron.threshold_types.abstract_threshold_type.AbstractThresholdType

A threshold that is a static value.

Parameters:	v_thresh (float, iterable(float), RandomDistribution or (mapping) function) – \(V_{thresh}\)

add_parameters(parameters)[source]¶

Add the initial values of the parameters to the parameter holder

Parameters:	parameters (RangeDictionary) – A holder of the parameters

add_state_variables(state_variables)[source]¶

Add the initial values of the state variables to the state variables holder

Parameters:	state_variables (RangeDictionary) – A holder of the state variables

get_n_cpu_cycles(n_neurons)[source]¶

Get the number of CPU cycles required to update the state

Parameters:	n_neurons (int) – The number of neurons to get the cycles for
Return type:	int

get_units(variable)[source]¶

Get the units of the given variable

Parameters:	variable (str) – The name of the variable

get_values(parameters, state_variables, vertex_slice, ts)[source]¶

Get the values to be written to the machine for this model

Parameters:	parameters (RangeDictionary) – The holder of the parameters state_variables (RangeDictionary) – The holder of the state variables vertex_slice (Slice) – The slice of variables being retrieved ts (float) – The time to be advanced in one call to the update of this component
Returns:	A list with the same length as self.struct.field_types
Return type:	list(int or float or list(int) or list(float) or RangedList)

has_variable(variable)[source]¶

Determine if this component has a variable by the given name

Parameters:	variable (str) – The name of the variable
Return type:	bool

update_values(values, parameters, state_variables)[source]¶

Update the parameters and state variables with the given struct values that have been read from the machine

Parameters:	values (list(list)) – The values read from the machine, one for each struct element parameters (RangeDictionary) – The holder of the parameters to update state_variables (RangeDictionary) – The holder of the state variables to update

v_thresh¶: \(V_{thresh}\)

class spynnaker.pyNN.models.neuron.threshold_types.ThresholdTypeMaassStochastic(du_th, tau_th, v_thresh)[source]¶