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]

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

A stochastic threshold.

Habenschuss S, Jonke Z, Maass W. Stochastic computations in cortical microcircuit models. PLoS Computational Biology. 2013;9(11):e1003311. doi:10.1371/journal.pcbi.1003311

Parameters:
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
du_th

\(du_{thresh}\)

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
tau_th

\(\tau_{thresh}\)

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

\(V_{thresh}\)