spynnaker.pyNN.models.neuron.synapse_types package

Module contents

class spynnaker.pyNN.models.neuron.synapse_types.AbstractSynapseType(structs, units)

Bases: AbstractStandardNeuronComponent

Represents the synapse types supported.

Parameters:

  • structs (list(Struct)) – The structures of the component

  • units (dict) – The units to use for each parameter

abstract get_n_synapse_types()[source]

Get the number of synapse types supported.

Returns:

The number of synapse types supported

Return type:

int

abstract 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

abstract get_synapse_targets()[source]

Get the target names of the synapse type.

Returns:

an array of strings (usually a list or tuple)

Return type:

iterable(str)

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: AbstractSynapseType

Parameters:

  • exc_response (float or iterable(float) or RandomDistribution or (mapping) function) – \(response^\mathrm{linear}_e\)

  • exc_exp_response (float or iterable(float) or RandomDistribution or (mapping) function) – \(response^\mathrm{exponential}_e\)

  • tau_syn_E (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_e\)

  • inh_response (float or iterable(float) or RandomDistribution or (mapping) function) – \(response^\mathrm{linear}_i\)

  • inh_exp_response (float or iterable(float) or RandomDistribution or (mapping) function) – \(response^\mathrm{exponential}_i\)

  • tau_syn_I (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)

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

property exc_response
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 (usually a list or tuple)

Return type:

iterable(str)

property inh_response
property tau_syn_E
property tau_syn_I
class spynnaker.pyNN.models.neuron.synapse_types.SynapseTypeDelta(isyn_exc, isyn_inh)

Bases: AbstractSynapseType

This represents a synapse type with two delta synapses.

Parameters:

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

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

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_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 (usually a list or tuple)

Return type:

iterable(str)

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

Bases: AbstractSynapseType

Parameters:

  • tau_syn_E (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_1}\)

  • tau_syn_E2 (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_2}\)

  • tau_syn_I (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)

  • isyn_exc (float or iterable(float) or RandomDistribution or (mapping) function) – \(I^{syn}_{e_1}\)

  • isyn_exc2 (float or iterable(float) or RandomDistribution or (mapping) function) – \(I^{syn}_{e_2}\)

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

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_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 (usually a list or tuple)

Return type:

iterable(str)

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

Bases: AbstractSynapseType

Parameters:

  • tau_syn_E (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_e\)

  • tau_syn_I (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)

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

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

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_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 (usually a list or tuple)

Return type:

iterable(str)

property isyn_exc
property isyn_inh
property tau_syn_E
property tau_syn_I
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: AbstractSynapseType

Parameters:

  • tau_syn_E (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_1}\)

  • tau_syn_E2 (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_{e_2}\)

  • tau_syn_I (float or iterable(float) or RandomDistribution or (mapping) function) – \(\tau^{syn}_i\)

  • isyn_exc (float or iterable(float) or RandomDistribution or (mapping) function) – \(I^{syn}_{e_1}\)

  • isyn_exc2 (float or iterable(float) or RandomDistribution or (mapping) function) – \(I^{syn}_{e_2}\)

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

  • multiplicator (float or iterable(float) or RandomDistribution or (mapping) function) –

  • exc2_old (float or iterable(float) or RandomDistribution or (mapping) function) –

  • scaling_factor (float or iterable(float) or RandomDistribution or (mapping) function) –

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

property exc2_old
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 (usually a list or tuple)

Return type:

iterable(str)

property isyn_exc
property isyn_exc2
property isyn_inh
property multiplicator
property scaling_factor
property tau_syn_E
property tau_syn_E2
property tau_syn_I