Flank Detector

This section shows all the code relative to the Flank Detector block.

class sPyBlocks.neural_flank_detector.NeuralFlankDetector(sim, global_params, neuron_params, std_conn, and_type='classic')

This class defines the flank detector block, which allows to detect rising and falling edges.

__init__(sim, global_params, neuron_params, std_conn, and_type='classic')

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.

  • and_type (str) – A string indicating the AND variant (“classic” or “fast”). “classic” by default.

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

Connects an input population to the neurons to be inhibited or excited by the Constant Spike Source 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 inhibited or excited neurons.

  • conn (sim.StaticSynapse) – The connection to use.

  • conn_all – Unused.

  • rcp_type (str) – A string indicating the receptor type of the connections (excitatory or inhibitory). “Excitatory” by default, it is recommended NOT to use this parameter.

  • ini_pop_indexes (list) – A list of indices used to select objects from the input population.

  • end_pop_indexes – Unused.

Returns

The number of connections that have been created.

Return type

int

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

Connects the output AND of the block associated with the falling edge 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 – Unused.

  • rcp_type (str) – A string indicating the receptor type of the connections (excitatory or inhibitory). “Excitatory” by default.

  • ini_pop_indexes (list) – Unused.

  • 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

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 – Unused.

  • 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 – Unused.

Returns

The number of connections that have been created.

Return type

int

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

Connects the output AND of the block associated with the rising edge 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 – Unused.

  • rcp_type (str) – A string indicating the receptor type of the connections (excitatory or inhibitory). “Excitatory” by default.

  • ini_pop_indexes (list) – Unused.

  • 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) – A boolean value indicating whether or not to flatten the list. False by default.

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) – A boolean value indicating whether or not to flatten the list. False by default.

Returns

The list containing all the output neurons of the block

Return type

list

get_supplied_neurons(flat=False)

Gets a list containing all the neurons inhibited or excited by the Constant Spike Source block.

Parameters

flat (bool) – A boolean value indicating whether or not to flatten the list. False by default.

Returns

The list containing all the inhibited neurons of the block

Return type

list