Conductance Based Synapses

ConductanceSpikingSynapses

struct conductance_spiking_synapses_parameters_struct {

  std::vector<int> pairwise_connect_presynaptic;         // list of pre-synaptic neuron ids for PAIRWISE connections

  std::vector<int> pairwise_connect_postsynaptic;        // list of post-synaptic neuron ids for PAIRWISE connections

  std::vector<int> pairwise_connect_weight;              // list of weight values for PAIRWISE connections

  std::vector<int> pairwise_connect_delay;               // list of delay values for PAIRWISE connections - timesteps

  float weight_range[2] = {0.0f, 0.0f};                  // Weight range for initialization (if not loaded)

  float weight_scaling_constant = 1.0;                   // Weight scale factor (helps to set the units of weights)

  float random_connectivity_probability;                 // Connection probability if RANDOM connectivity (SEE BELOW)

  int connectivity_type;                                 // The connectivity type (SEE BELOW)

  std::vector<Plasticity*> plasticity_vec;               // The list of plasticity rules to apply to the synapse set

  float delay_range[2];                                  // Seconds (2 element array [lowerbound, upperbound])

  float reversal_potential_Vhat;                         // Volts (Conductance Parameter)

  float decay_term_tau_g;                                // Seconds (Conductance Parameter)

}

CONNECTIVITY_TYPE_ALL_TO_ALL           // Connects all pre to all post-synaptic neurons

CONNECTIVITY_TYPE_ONE_TO_ONE           // Connects every pre to it's corresponding post-synaptic neuron

CONNECTIVITY_TYPE_RANDOM               // Connects neurons with probability random_connectivity_probability^^

CONNECTIVITY_TYPE_PAIRWISE            

// Connects each neuron in the pairwise_connect_presynaptic list to each neuron in the pairwise_connect_postsynaptic list. If the pairwise_connect_weight and pairwise_connect_delay lists exist and are of the right size, these values are used for weights and delays (delays in timesteps).