spynnaker.pyNN.models.neuron.synapse_types package

Module contents

class spynnaker.pyNN.models.neuron.synapse_types.AbstractSynapseType(data_types)[source]

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()[source]

Get the number of synapse types supported.

Returns:The number of synapse types supported
Return type:int
get_synapse_id_by_target(target)[source]

Get the ID of a synapse given the name.

Returns:The ID of the synapse
Return type:int
get_synapse_targets()[source]

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)[source]

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

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
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_n_synapse_types()[source]

Get the number of synapse types supported.

Returns:The number of synapse types supported
Return type:int
get_synapse_id_by_target(target)[source]

Get the ID of a synapse given the name.

Returns:The ID of the synapse
Return type:int
get_synapse_targets()[source]

Get the target names of the synapse type.

Returns:an array of strings
Return type:array(str)
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 (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)[source]

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

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

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
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_n_synapse_types()[source]

Get the number of synapse types supported.

Returns:The number of synapse types supported
Return type:int
get_synapse_id_by_target(target)[source]

Get the ID of a synapse given the name.

Returns:The ID of the synapse
Return type:int
get_synapse_targets()[source]

Get the target names of the synapse type.

Returns:an array of strings
Return type:array(str)
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 (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)[source]

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

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

This represents a synapse type with two delta synapses

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
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_n_synapse_types()[source]

Get the number of synapse types supported.

Returns:The number of synapse types supported
Return type:int
get_synapse_id_by_target(target)[source]

Get the ID of a synapse given the name.

Returns:The ID of the synapse
Return type:int
get_synapse_targets()[source]

Get the target names of the synapse type.

Returns:an array of strings
Return type:array(str)
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
isyn_exc
isyn_inh
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
class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeAlpha(exc_response, exc_exp_response, tau_syn_E, inh_response, inh_exp_response, tau_syn_I)[source]

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

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
exc_response
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_n_synapse_types()[source]

Get the number of synapse types supported.

Returns:The number of synapse types supported
Return type:int
get_synapse_id_by_target(target)[source]

Get the ID of a synapse given the name.

Returns:The ID of the synapse
Return type:int
get_synapse_targets()[source]

Get the target names of the synapse type.

Returns:an array of strings
Return type:array(str)
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 (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)[source]

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)[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
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)[source]

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

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
exc2_old
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_n_synapse_types()[source]

Get the number of synapse types supported.

Returns:The number of synapse types supported
Return type:int
get_synapse_id_by_target(target)[source]

Get the ID of a synapse given the name.

Returns:The ID of the synapse
Return type:int
get_synapse_targets()[source]

Get the target names of the synapse type.

Returns:an array of strings
Return type:array(str)
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 (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)[source]

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)[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