hbp_nrp_cle.brainsim.pynn_spiNNaker.PyNNSpiNNakerControlAdapter module

This module contains an adapted implementation of a neural controller for SpiNNaker

class PySpiNNakerControlAdapter(sim)

Bases: hbp_nrp_cle.brainsim.pynn.PyNNControlAdapter.PyNNControlAdapter

An implementation to control a SpiNNaker board simulation synchronously

get_Timeout()

returns The maximum amount of time (in seconds) to wait for the end of this step

initialize(**params)

Initializes the neuronal simulator

Parameters

• timestep – The timestep used for the neuronal simulation

• min_delay – The minimum delay

• max_delay – The maximum delay

• threads – The amount of threads that should be used to run the simulation

• rng_seeds – The rng seeds for the simulation

Returns

True if the simulator is initialized, otherwise False

run_step(dt)

Runs the neuronal simulator for the given amount of simulated time

Parameters

dt – the simulated time in milliseconds

shutdown()

Shuts down the neuronal simulator

all_ids(population)

Returns all ids of the neurons

Parameters

population – The population