The present synaptic PC model is based on the recent PC model of intrinsic electroresponsiveness by Masoli et al. (2015), which in turn derives its morphology from Rapp et al. (1994). The present model updates in several respects the previous active model by De Schutter and Bower (1994a,b) by incorporating a completely new set of ionic channels, by dislocating the action potential generation mechanism in the AIS and axon, by using dynamic synapses and by exploiting a wide set or recent experimental evidences for validation. The model by Masoli et al. (2015) (available on ModelDB), which was built to reproduce PC responses to current injections in vitro and in vivo, is extended here by connecting excitatory and inhibitory synapses on the dendrites and by evaluating a large set of combinations in the input space. As a further update to account for recent in vivo data, the maximum conductance of some ionic channels (soma HCN1 = 0.001 mS/cm2; soma Kv3.4 = 0.0515 mS/cm2; AIS Nav1.6 = 0.8 mS/cm2) was adjusted to raise the average frequency from 35 Hz to 40 Hz in the Z+ PC model (Zhou et al., 2014). The Z− differed Z+ models only for the presence of TRPC channels. TRPC channels are cationic channels generating a tonic depolarizing current, which, once placed in Z− PCs, raised background frequency to around 90 Hz (dendrite TRPC = 4.18e−6 mS/cm2). All simulations were performed at 37° with fixed time step (0.025 ms) and were run using NEURON multisplit (Python 2.7; NEURON 7.5; Hines et al., 2007, 2009) to exploit the eight-core processor of an AMD FX 8350 with 16 GB RAM and an AMD Ryzen 1800x 8 cores/16 threads with 32 GB RAM. The data were analyzed with custom python and MATLAB scripts.