spynnaker8.models.synapse_dynamics package¶
Subpackages¶
Module contents¶
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class
spynnaker8.models.synapse_dynamics.
SynapseDynamicsStatic
(weight=0.0, delay=None)[source]¶ Bases:
spynnaker.pyNN.models.neuron.synapse_dynamics.synapse_dynamics_static.SynapseDynamicsStatic
Parameters:
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class
spynnaker8.models.synapse_dynamics.
SynapseDynamicsSTDP
(timing_dependence, weight_dependence, voltage_dependence=None, dendritic_delay_fraction=1.0, weight=0.0, delay=None, backprop_delay=True)[source]¶ Bases:
spynnaker.pyNN.models.neuron.synapse_dynamics.synapse_dynamics_stdp.SynapseDynamicsSTDP
Parameters:
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class
spynnaker8.models.synapse_dynamics.
SynapseDynamicsStructuralStatic
(partner_selection, formation, elimination, f_rew=10000, initial_weight=0, initial_delay=1, s_max=32, seed=None, weight=0.0, delay=None)[source]¶ Bases:
spynnaker.pyNN.models.neuron.synapse_dynamics.synapse_dynamics_structural_static.SynapseDynamicsStructuralStatic
Parameters: - partner_selection (AbstractPartnerSelection) – The partner selection rule
- formation (AbstractFormation) – The formation rule
- elimination (AbstractElimination) – The elimination rule
- f_rew (int) – How many rewiring attempts will be done per second.
- initial_weight (float) – Weight assigned to a newly formed connection
- initial_delay (float or tuple(float, float)) – Delay assigned to a newly formed connection; a single value means a fixed delay value, or a tuple of two values means the delay will be chosen at random from a uniform distribution between the given values
- s_max (int) – Maximum fan-in per target layer neuron
- seed (int) – seed the random number generators
- weight (float) – The weight of connections formed by the connector
- delay (float or None) – The delay of connections formed by the connector
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class
spynnaker8.models.synapse_dynamics.
SynapseDynamicsStructuralSTDP
(partner_selection, formation, elimination, timing_dependence=None, weight_dependence=None, voltage_dependence=None, dendritic_delay_fraction=1.0, f_rew=10000, initial_weight=0, initial_delay=1, s_max=32, seed=None, weight=0.0, delay=None, backprop_delay=True)[source]¶ Bases:
spynnaker.pyNN.models.neuron.synapse_dynamics.synapse_dynamics_structural_stdp.SynapseDynamicsStructuralSTDP
Parameters: - partner_selection (AbstractPartnerSelection) – The partner selection rule
- formation (AbstractFormation) – The formation rule
- elimination (AbstractElimination) – The elimination rule
- timing_dependence (AbstractTimingDependence) –
- weight_dependence (AbstractWeightDependence) –
- voltage_dependence (None) – The STDP voltage dependence (unsupported)
- dendritic_delay_fraction (float) – The STDP dendritic delay fraction
- f_rew (int) – How many rewiring attempts will be done per second.
- initial_weight (float) – Weight assigned to a newly formed connection
- initial_delay (float or tuple(float, float)) – Delay assigned to a newly formed connection; a single value means a fixed delay value, or a tuple of two values means the delay will be chosen at random from a uniform distribution between the given values
- s_max (int) – Maximum fan-in per target layer neuron
- seed (int) – seed the random number generators
- weight (float) – The weight of connections formed by the connector
- delay (float or None) – The delay of connections formed by the connector