XOR

This section shows all the code relative to the XOR block.

class sPyBlocks.neural_xor.MultipleNeuralXor(n_components, n_inputs, sim, global_params, neuron_params, std_conn)

This class allows to create multiple XOR blocks of the same type.

__init__(n_components, n_inputs, sim, global_params, neuron_params, std_conn)

Constructor of the class.

Parameters

n_components (int) – The number of blocks to create.
sim – The simulator package.
global_params (dict) – A dictionary of type str:int which must include the “min_delay” keyword. This keyword is likely to have the time period associated with it as a value.
neuron_params (dict) – A dictionary of type str:int containing the neuron parameters.
std_conn (sim.StaticSynapse) – The connection to be used for the construction of the blocks. Commonly, its weight is 1.0 and its delay is equal to the timestep.

connect_inputs(input_population, conn=None, conn_all=True, rcp_type='excitatory', ini_pop_indexes=None, end_pop_indexes=None, component_indexes=None)

Connects an input population to the input neurons of the block.

Parameters

input_population (sim.Population, sim.PopulationView, sim.Assembly, list) – A PyNN object or a list of PyNN objects containing the population to connect to the input neurons.
conn (sim.StaticSynapse) – The connection to use. std_conn (class parameter) by default.
conn_all – A boolean indicating whether or not all selected input objects should be connected to all selected input neurons of the block.
rcp_type (str) – A string indicating the receptor type of the connections (excitatory or inhibitory). “Excitatory” by default.
ini_pop_indexes (list) – A list of indices used to select objects from the input population.
end_pop_indexes – A list of indices used to select objects from the set of input neurons of the block.
component_indexes (list) – A list of indices used to select components from the list of components.

Returns

The number of connections that have been created.

Return type

int

connect_outputs(output_population, conn=None, conn_all=True, rcp_type='excitatory', ini_pop_indexes=None, end_pop_indexes=None, component_indexes=None)

Connects the output neurons of the block to an output population.

Parameters

output_population (sim.Population, sim.PopulationView, sim.Assembly, list) – A PyNN object or a list of PyNN objects containing the population to connect the output neurons to.
conn (sim.StaticSynapse) – The connection to use. std_conn (class parameter) by default.
conn_all – A boolean indicating whether or not all selected output neurons of the block should be connected to all selected output neurons.
rcp_type (str) – A string indicating the receptor type of the connections (excitatory or inhibitory). “Excitatory” by default.
ini_pop_indexes (list) – A list of indices used to select objects from the set of output neurons of the block.
end_pop_indexes – A list of indices used to select objects from the output population.
component_indexes (list) – A list of indices used to select components from the list of components.

Returns

The number of connections that have been created.

Return type

int

get_input_neurons(flat=False)

Gets a list containing all the input neurons of the block.

Parameters: flat (bool) – Unused.
Returns: The flattened or unflattened list containing all the input neurons of the block
Return type: list

get_output_neurons(flat=False)

Gets a list containing all the output neurons of the block.

Parameters: flat (bool) – Unused.
Returns: The list containing all the output neurons of the block
Return type: list

class sPyBlocks.neural_xor.NeuralXor(n_inputs, sim, global_params, neuron_params, std_conn)

This class defines the XOR block.

__init__(n_inputs, sim, global_params, neuron_params, std_conn)

Constructor of the class.

Parameters

sim – The simulator package.
global_params (dict) – A dictionary of type str:int which must include the “min_delay” keyword. This keyword is likely to have the time period associated with it as a value.
neuron_params (dict) – A dictionary of type str:int containing the neuron parameters.
std_conn (sim.StaticSynapse) – The connection to be used for the construction of the block. Commonly, its weight is 1.0 and its delay is equal to the timestep.

connect_inputs(input_population, conn=None, conn_all=True, rcp_type='excitatory', ini_pop_indexes=None, end_pop_indexes=None)

Connects an input population to the input neurons of the block.

Parameters

input_population (sim.Population, sim.PopulationView, sim.Assembly, list) – A PyNN object or a list of PyNN objects containing the population to connect to the input neurons.
conn (sim.StaticSynapse) – The connection to use. std_conn (class parameter) by default.
conn_all – A boolean indicating whether or not all selected input objects should be connected to all selected input neurons of the block.
rcp_type (str) – A string indicating the receptor type of the connections (excitatory or inhibitory). “Excitatory” by default.
ini_pop_indexes (list) – A list of indices used to select objects from the input population.
end_pop_indexes – A list of indices used to select objects from the set of input neurons of the block.

Returns

The number of connections that have been created.

Return type

int

connect_outputs(output_population, conn=None, conn_all=True, rcp_type='excitatory', ini_pop_indexes=None, end_pop_indexes=None)

Connects the output neurons of the block to an output population.

Parameters

output_population (sim.Population, sim.PopulationView, sim.Assembly, list) – A PyNN object or a list of PyNN objects containing the population to connect the output neurons to.
conn (sim.StaticSynapse) – The connection to use. std_conn (class parameter) by default.
conn_all – A boolean indicating whether or not all selected output neurons of the block should be connected to all selected output neurons.
rcp_type (str) – A string indicating the receptor type of the connections (excitatory or inhibitory). “Excitatory” by default.
ini_pop_indexes (list) – A list of indices used to select objects from the set of output neurons of the block.
end_pop_indexes – A list of indices used to select objects from the output population.

Returns

The number of connections that have been created.

Return type

int

get_input_neurons(flat=False)

Gets a list containing all the input neurons of the block.

Parameters: flat (bool) – Unused.
Returns: The flattened or unflattened list containing all the input neurons of the block
Return type: list

get_output_neurons(flat=False)

Gets a list containing all the output neurons of the block.

Parameters: flat (bool) – Unused.
Returns: The list containing all the output neurons of the block
Return type: list