spynnaker8.models.synapse_dynamics package

Module contents

Warning

Using classes via this module is deprecated. Please use spynnaker.pyNN.models.neuron.synapse_dynamics instead.

class spynnaker8.models.synapse_dynamics.SynapseDynamicsStatic(weight=0.0, delay=None)[source]

Bases: spynnaker.pyNN.models.neuron.synapse_dynamics.synapse_dynamics_static.SynapseDynamicsStatic

Deprecated since version 6.0: Use spynnaker.pyNN.models.neuron.synapse_dynamics.SynapseDynamicsStatic instead.

Parameters:
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

Deprecated since version 6.0: Use spynnaker.pyNN.models.neuron.synapse_dynamics.SynapseDynamicsSTDP instead.

Parameters:
class spynnaker8.models.synapse_dynamics.SynapseDynamicsStructuralStatic(partner_selection, formation, elimination, f_rew=10000.0, initial_weight=0.0, initial_delay=1.0, 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
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=10000.0, initial_weight=0.0, initial_delay=1.0, 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) – The STDP timing dependence rule
  • weight_dependence (AbstractWeightDependence) – The STDP weight dependence rule
  • 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