spynnaker.pyNN.models.neuron.synapse_types package

Module contents

class spynnaker.pyNN.models.neuron.synapse_types.AbstractSynapseType(data_types)

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

Represents the synapse types supported.

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

get_n_synapse_types()

Get the number of synapse types supported.

Returns:The number of synapse types supported Return type:int

get_synapse_id_by_target(target)

Get the ID of a synapse given the name.

Returns:The ID of the synapse Return type:int

get_synapse_targets()

Get the target names of the synapse type.

Returns:an array of strings Return type:array(str)

class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeDualExponential(tau_syn_E, tau_syn_E2, tau_syn_I, isyn_exc, isyn_exc2, isyn_inh)

Bases: spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type.AbstractSynapseType

Parameters:

• tau_syn_E (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_1}\)
• tau_syn_E2 (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_2}\)
• tau_syn_I (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)
• isyn_exc (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_{e_1}\)
• isyn_exc2 (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_{e_2}\)
• isyn_inh (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_i\)

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

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

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_n_synapse_types()

Get the number of synapse types supported.

Returns:The number of synapse types supported Return type:int

get_synapse_id_by_target(target)

Get the ID of a synapse given the name.

Returns:The ID of the synapse Return type:int

get_synapse_targets()

Get the target names of the synapse type.

Returns:an array of strings Return type:array(str)

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, ts)

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 (int) – The time to be advanced in one call to the update of this component
• ts – machine time step

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)

Determine if this component has a variable by the given name

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

isyn_exc

isyn_exc2

isyn_inh

tau_syn_E

tau_syn_E2

tau_syn_I

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 (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

class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeExponential(tau_syn_E, tau_syn_I, isyn_exc, isyn_inh)

Bases: spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type.AbstractSynapseType

Parameters:

• tau_syn_E (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_e\)
• tau_syn_I (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)
• isyn_exc (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_e\)
• isyn_inh (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_i\)

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

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

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_n_synapse_types()

Get the number of synapse types supported.

Returns:The number of synapse types supported Return type:int

get_synapse_id_by_target(target)

Get the ID of a synapse given the name.

Returns:The ID of the synapse Return type:int

get_synapse_targets()

Get the target names of the synapse type.

Returns:an array of strings Return type:array(str)

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, ts)

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 (int) – The time to be advanced in one call to the update of this component
• ts – machine time step

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)

Determine if this component has a variable by the given name

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

isyn_exc

isyn_inh

tau_syn_E

tau_syn_I

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 (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

class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeDelta(isyn_exc, isyn_inh)

Bases: spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type.AbstractSynapseType

This represents a synapse type with two delta synapses

Parameters:

• isyn_exc (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_e\)
• isyn_inh (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_i\)

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

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

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_n_synapse_types()

Get the number of synapse types supported.

Returns:The number of synapse types supported Return type:int

get_synapse_id_by_target(target)

Get the ID of a synapse given the name.

Returns:The ID of the synapse Return type:int

get_synapse_targets()

Get the target names of the synapse type.

Returns:an array of strings Return type:array(str)

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, ts)

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)

Determine if this component has a variable by the given name

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

isyn_exc

isyn_inh

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 (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

class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeAlpha(exc_response, exc_exp_response, tau_syn_E, inh_response, inh_exp_response, tau_syn_I)

Bases: spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type.AbstractSynapseType

Parameters:

• exc_response (float, iterable(float), RandomDistribution or (mapping) function) – \(response^\mathrm{linear}_e\)
• exc_exp_response (float, iterable(float), RandomDistribution or (mapping) function) – \(response^\mathrm{exponential}_e\)
• tau_syn_E (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_e\)
• inh_response (float, iterable(float), RandomDistribution or (mapping) function) – \(response^\mathrm{linear}_i\)
• inh_exp_response (float, iterable(float), RandomDistribution or (mapping) function) – \(response^\mathrm{exponential}_i\)
• tau_syn_I (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

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

exc_response

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_n_synapse_types()

Get the number of synapse types supported.

Returns:The number of synapse types supported Return type:int

get_synapse_id_by_target(target)

Get the ID of a synapse given the name.

Returns:The ID of the synapse Return type:int

get_synapse_targets()

Get the target names of the synapse type.

Returns:an array of strings Return type:array(str)

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, ts)

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 (int) – The time to be advanced in one call to the update of this component
• ts – machine time step

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)

Determine if this component has a variable by the given name

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

inh_response

tau_syn_E

tau_syn_I

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 (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

class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeExpIzhikevichNeuromodulated(tau_syn_E, tau_syn_I, isyn_exc, isyn_inh)

Bases: spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type.AbstractSynapseType

Parameters:

• tau_syn_E (float) – \(\tau^{syn}_e\)
• tau_syn_I (float) – \(\tau^{syn}_i\)
• isyn_exc (float) – \(I^{syn}_e\)
• isyn_inh (float) – \(I^{syn}_i\)

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

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

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_n_synapse_types()

Get the number of synapse types supported.

Returns:The number of synapse types supported Return type:int

get_synapse_id_by_target(target)

Get the ID of a synapse given the name.

Returns:The ID of the synapse Return type:int

get_synapse_targets()

Get the target names of the synapse type.

Returns:an array of strings Return type:array(str)

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, ts)

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 (int) – The time to be advanced in one call to the update of this component
• ts – machine time step

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)

Determine if this component has a variable by the given name

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

isyn_exc

isyn_inh

tau_syn_E

tau_syn_I

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 (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

class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeSEMD(tau_syn_E, tau_syn_E2, tau_syn_I, isyn_exc, isyn_exc2, isyn_inh, multiplicator, exc2_old, scaling_factor)

Bases: spynnaker.pyNN.models.neuron.synapse_types.abstract_synapse_type.AbstractSynapseType

Parameters:

• tau_syn_E (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_1}\)
• tau_syn_E2 (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_2}\)
• tau_syn_I (float, iterable(float), RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)
• isyn_exc (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_{e_1}\)
• isyn_exc2 (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_{e_2}\)
• isyn_inh (float, iterable(float), RandomDistribution or (mapping) function) – \(I^{syn}_i\)
• multiplicator (float, iterable(float), RandomDistribution or (mapping) function) –
• exc2_old (float, iterable(float), RandomDistribution or (mapping) function) –
• scaling_factor (float, iterable(float), RandomDistribution or (mapping) function) –

add_parameters(parameters)

Add the initial values of the parameters to the parameter holder

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

exc2_old

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_n_synapse_types()

Get the number of synapse types supported.

Returns:The number of synapse types supported Return type:int

get_synapse_id_by_target(target)

Get the ID of a synapse given the name.

Returns:The ID of the synapse Return type:int

get_synapse_targets()

Get the target names of the synapse type.

Returns:an array of strings Return type:array(str)

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, ts)

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 (int) – The time to be advanced in one call to the update of this component
• ts – machine time step

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)

Determine if this component has a variable by the given name

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

isyn_exc

isyn_exc2

isyn_inh

multiplicator

scaling_factor

tau_syn_E

tau_syn_E2

tau_syn_I

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 (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