spynnaker.pyNN.models.neuron.input_types package

Submodules

spynnaker.pyNN.models.neuron.input_types.abstract_input_type module

class spynnaker.pyNN.models.neuron.input_types.abstract_input_type.AbstractInputType(data_types)

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

Represents a possible input type for a neuron model (e.g., current).

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

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

spynnaker.pyNN.models.neuron.input_types.input_type_conductance module

class spynnaker.pyNN.models.neuron.input_types.input_type_conductance.InputTypeConductance(e_rev_E, e_rev_I)

Bases: spynnaker.pyNN.models.neuron.input_types.abstract_input_type.AbstractInputType

The conductance input type

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

Parameters:parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the parameters

add_state_variables(state_variables)

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

Parameters:state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the state variables

e_rev_E

e_rev_I

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

get_n_cpu_cycles(n_neurons)

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)

Get the units of the given variable

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

get_values(parameters, state_variables, vertex_slice)

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

Parameters:

• parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the parameters
• state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the state variables
• vertex_slice – The slice of variables being retrieved

Returns:

A list with the same length as self.struct.field_types

Return type:

A list of (single value or list of values or RangedList)

has_variable(variable)

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)

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

Parameters:

• values – The values read from the machine, one for each struct element
• parameters – The holder of the parameters to update
• state_variables – The holder of the state variables to update

spynnaker.pyNN.models.neuron.input_types.input_type_current module

class spynnaker.pyNN.models.neuron.input_types.input_type_current.InputTypeCurrent

Bases: spynnaker.pyNN.models.neuron.input_types.abstract_input_type.AbstractInputType

The current input type

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

Parameters:parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the parameters

add_state_variables(state_variables)

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

Parameters:state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the state variables

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

get_n_cpu_cycles(n_neurons)

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)

Get the units of the given variable

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

get_values(parameters, state_variables, vertex_slice)

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

Parameters:

• parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the parameters
• state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the state variables
• vertex_slice – The slice of variables being retrieved

Returns:

A list with the same length as self.struct.field_types

Return type:

A list of (single value or list of values or RangedList)

has_variable(variable)

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)

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

Parameters:

• values – The values read from the machine, one for each struct element
• parameters – The holder of the parameters to update
• state_variables – The holder of the state variables to update

spynnaker.pyNN.models.neuron.input_types.input_type_current_semd module

class spynnaker.pyNN.models.neuron.input_types.input_type_current_semd.InputTypeCurrentSEMD(multiplicator, inh_input_previous)

Bases: spynnaker.pyNN.models.neuron.input_types.abstract_input_type.AbstractInputType

The current sEMD input type

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

Parameters:parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the parameters

add_state_variables(state_variables)

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

Parameters:state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the state variables

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

get_n_cpu_cycles(n_neurons)

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)

Get the units of the given variable

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

get_values(parameters, state_variables, vertex_slice)

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

Parameters:

• parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the parameters
• state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the state variables
• vertex_slice – The slice of variables being retrieved

Returns:

A list with the same length as self.struct.field_types

Return type:

A list of (single value or list of values or RangedList)

has_variable(variable)

Determine if this component has a variable by the given name

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

inh_input_previous

multiplicator

update_values(values, parameters, state_variables)

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

Parameters:

• values – The values read from the machine, one for each struct element
• parameters – The holder of the parameters to update
• state_variables – The holder of the state variables to update

Module contents

class spynnaker.pyNN.models.neuron.input_types.AbstractInputType(data_types)

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

Represents a possible input type for a neuron model (e.g., current).

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

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

class spynnaker.pyNN.models.neuron.input_types.InputTypeConductance(e_rev_E, e_rev_I)

Bases: spynnaker.pyNN.models.neuron.input_types.abstract_input_type.AbstractInputType

The conductance input type

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

Parameters:parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the parameters

add_state_variables(state_variables)

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

Parameters:state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the state variables

e_rev_E

e_rev_I

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

get_n_cpu_cycles(n_neurons)

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)

Get the units of the given variable

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

get_values(parameters, state_variables, vertex_slice)

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

Parameters:

• parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the parameters
• state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the state variables
• vertex_slice – The slice of variables being retrieved

Returns:

A list with the same length as self.struct.field_types

Return type:

A list of (single value or list of values or RangedList)

has_variable(variable)

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)

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

Parameters:

• values – The values read from the machine, one for each struct element
• parameters – The holder of the parameters to update
• state_variables – The holder of the state variables to update

class spynnaker.pyNN.models.neuron.input_types.InputTypeCurrent

Bases: spynnaker.pyNN.models.neuron.input_types.abstract_input_type.AbstractInputType

The current input type

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

Parameters:parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the parameters

add_state_variables(state_variables)

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

Parameters:state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the state variables

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

get_n_cpu_cycles(n_neurons)

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)

Get the units of the given variable

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

get_values(parameters, state_variables, vertex_slice)

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

Parameters:

• parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the parameters
• state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the state variables
• vertex_slice – The slice of variables being retrieved

Returns:

A list with the same length as self.struct.field_types

Return type:

A list of (single value or list of values or RangedList)

has_variable(variable)

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)

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

Parameters:

• values – The values read from the machine, one for each struct element
• parameters – The holder of the parameters to update
• state_variables – The holder of the state variables to update

class spynnaker.pyNN.models.neuron.input_types.InputTypeCurrentSEMD(multiplicator, inh_input_previous)

Bases: spynnaker.pyNN.models.neuron.input_types.abstract_input_type.AbstractInputType

The current sEMD input type

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

Parameters:parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the parameters

add_state_variables(state_variables)

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

Parameters:state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – A holder of the state variables

get_global_weight_scale()

Get the global weight scaling value.

Returns:The global weight scaling value Return type:float

get_n_cpu_cycles(n_neurons)

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)

Get the units of the given variable

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

get_values(parameters, state_variables, vertex_slice)

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

Parameters:

• parameters (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the parameters
• state_variables (spinn_utilities.ranged.range_dictionary.RangeDictionary) – The holder of the state variables
• vertex_slice – The slice of variables being retrieved

Returns:

A list with the same length as self.struct.field_types

Return type:

A list of (single value or list of values or RangedList)

has_variable(variable)

Determine if this component has a variable by the given name

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

inh_input_previous

multiplicator

update_values(values, parameters, state_variables)

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

Parameters:

• values – The values read from the machine, one for each struct element
• parameters – The holder of the parameters to update
• state_variables – The holder of the state variables to update