Table 3 Definition of the system parameters.
Module | Components | Name |
|---|---|---|
Generator module | \(n_{ext P}\) | Number of Poisson spike train external neurons |
\(t_{start P}\) | Poisson input onset | |
\(t_{end P}\) | Poisson input offset | |
\(r_P\) | Firing rate | |
\(\delta t_P\) | Delta | |
\(A_P\) | Poisson input amplitude | |
\(n_{ext \, c}\) | Number of constant spike train external neurons | |
\(t_{start{\,c}}\) | Constant input onset | |
\(t_{end\,c}\) | Constant input offset | |
\(int_{\,c}\) | Interspike interval | |
\(A_{\,c}\) | Cnstant input amplitude | |
\(t_{ss 1}, t_{ss 2}, ...\) | Input stream spike timings | |
\(n_{ss 1}, n_{ss 2}, ...\) | Related neuron numbers | |
\(A_{ss}\) | Stream input amplitude | |
Neuroanatomical node module | n | Number of neurons |
p | Rewiring probability | |
k | Mean degree | |
R | Excitatory ratio | |
\(A_{exc}\) | Exc. pre-synaptic amplitude | |
\(A_{inh}\) | Inh. pre-synaptic amplitude | |
\(\mu _{_w, exc}\) | Intra-node exc. post-synaptic weight distr.mean (Gaussian) | |
\(\mu _{_w, inh}\) | Intra-node inh. post-synaptic weight distr.mean (Gaussian) | |
\(\sigma _{_w, exc}\) | Intra-node exc. post-synaptic weight distr.st.dev. (Gaussian) | |
\(\sigma _{_w, inh}\) | Intra-node inh. post-synaptic weight distr.st.dev. (Gaussian) | |
a | Latency curve center distance | |
b | Latency curve x-axis intersection | |
c | Threshold constant | |
\(D_{exc}\) | Decay parameter (excitatory) | |
\(D_{inh}\) | Decay parameter (inhibitory) | |
\(t_{arp}\) | Absolute refractory period | |
\(N_b\) | Burst cardinality | |
IBI | Inter-burst interval | |
\(N_{e}\) | Number of connections (edge cardinality) | |
\(\mu _{\omega }\) | Inter-node post-synaptic weight distr.mean (Gaussian) | |
\(\sigma _{\omega }\) | Inter-node post-synaptic weight distr.st.dev. (Gaussian) | |
\(\mu _{\lambda }\) | Inter-node length distr.mean (gamma) | |
\(\alpha _{\lambda }\) | Inter-node length distr.shape (gamma) | |
\(t_{E}\) | Inter-node sender-receiver type | |
\(\tau _{+}\) | LTP time constant | |
\(\tau _{-}\) | LTD time constant | |
\(\eta _{+}\) | LTP learning constant | |
\(\eta _{-}\) | LTD learning constant | |
TO | STDP timeout constant | |
\(W_{max}\) | Maximum weight | |
v | Global conduction speed | |
\(t_{stop}\) | Simulation stop time | |
\(S_b\) | Serialization buffer | |
\(N_m\) | Neuron model | |
\(U_t\) | Underthreshold type | |
Output module | \(NOI_1, NOI_2, ...\) | List of NOIs |
\(n_{F}\) | Pre-synaptic neuron number (if firing event) | |
\(N_{F}\) | Pre-synaptic node number (if firing event) | |
\(t_F\) | Firing event time (if firing event) | |
\(n_{B}\) | Post-synaptic neuron number (if burning event) | |
\(N_{B}\) | Post-synaptic node number (if burning event) | |
\(t_B\) | Pulse arrival time (if burning event) | |
\(W_{B}\) | Synaptic weight (if burning event) |
