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. 2018 Aug 28;14(8):e1006227. doi: 10.1371/journal.pcbi.1006227

Table 1. Summary of the regressions of the nine STDP data sets regressed with the G-DHL rule.

The table indicates: the species and brain area from which the neurons have been taken (Hip: hippocampus; VisCtx: visual cortex; EntCtx: enthorinal cortex; Tec: Tectum); the reference where the data were published (Ref.); the parameters of the G-DHL selected model (i.e., the 2 or 3 parameters of the components of the model chosen by the model comparison technique); the type of pre- and post-synaptic neuron (Exc: excitatory; Inh: inhibitory); the taxonomy with which the STDP data set has been classified in Caporale and Dan [18] (C.&D. classes); our taxonomy proposed on the basis of the components found by the G-DHL regression. Our classes: ‘E’ and ‘I’ refer to the excitatory/inhibitory neurons involved, specifying the class, and the numbers refer to the subtypes within the class.

Species Brain Area Ref. Component Neurons C.&D. classes Our classes
σpp σnp σpn σnn ηps ηsp ηns ηsn In Out
Rat Hip [25] +.73 -.02 Exc Exc A I EE 1
Locust Kenion [71] -.47 +.66 Exc Exc A I EE 2
Rat VisCtx [72] +.66 -.60 Exc Exc A I EE 3
Rat EntCtx [73] +.27 -.40 Exc Exc A I EE 3
Rat Hip [74] +.17 -.38 Exc Exc A II EE 3
Tadpole Tec [76] -.65 +.61 Exc Inh B I EI 1
Rat Hip [77] -.52 -.48 +.77 Inh Exc C II IE 1
Rat Hip [78] -.36 -.53 +.63 Inh Exc C II IE 1
Rat EntCtx [79] +.78 -.56 Inh Inh C III II 1