spynnaker.pyNN.models.neuron.structural_plasticity.synaptogenesis.partner_selection package¶
Module contents¶
- class spynnaker.pyNN.models.neuron.structural_plasticity.synaptogenesis.partner_selection.AbstractPartnerSelection¶
Bases:
object
A partner selection rule.
- abstract get_parameter_names()[source]¶
Return the names of the parameters supported by this rule.
- Return type:
iterable(str)
- abstract get_parameters_sdram_usage_in_bytes()[source]¶
Get the amount of SDRAM used by the parameters of this rule.
- Return type:
- abstract property vertex_executable_suffix¶
The suffix to be appended to the vertex executable for this rule.
- Return type:
- class spynnaker.pyNN.models.neuron.structural_plasticity.synaptogenesis.partner_selection.LastNeuronSelection(spike_buffer_size=64)¶
Bases:
AbstractPartnerSelection
Partner selection that picks a random source neuron from the neurons that spiked in the last timestep.
- Parameters:
spike_buffer_size – The size of the buffer for holding spikes
- get_parameter_names()[source]¶
Return the names of the parameters supported by this rule.
- Return type:
iterable(str)
- get_parameters_sdram_usage_in_bytes()[source]¶
Get the amount of SDRAM used by the parameters of this rule.
- Return type:
- property vertex_executable_suffix¶
The suffix to be appended to the vertex executable for this rule.
- Return type:
- class spynnaker.pyNN.models.neuron.structural_plasticity.synaptogenesis.partner_selection.RandomSelection¶
Bases:
AbstractPartnerSelection
Partner selection that picks a random source neuron from all sources.
- get_parameter_names()[source]¶
Return the names of the parameters supported by this rule.
- Return type:
iterable(str)
- get_parameters_sdram_usage_in_bytes()[source]¶
Get the amount of SDRAM used by the parameters of this rule.
- Return type:
- property vertex_executable_suffix¶
The suffix to be appended to the vertex executable for this rule.
- Return type: