transcription overview of the synaptic, intrinsic and release machineries reveals strikingly coherent molecular ensemble properties congruent with well characterized physiological, biophysical and release properties of PCPs. They further predict multiple novel physiological features that can be experimentally verified. Thus transcriptional signatures of synaptic I/O machineries may begin to harmonize and extend the hitherto often limited, disparate and technically challenging electrophysiological measurements. Furthermore, neuron types defined by connectivity pattern and I/O styles may represent distinct structural and physiological motifs, with characteristic sets of dynamic properties that support and constrain their roles in circuit operations. Task-dependent recruitment of these motifs into brain networks may engage their systems level information processing and function. Finally, although transcription is influenced by cellular milieu including neural activity, core features of transcriptomes are outputs of cellular epigenomes customized primarily through developmental programming of the genome. Therefore, transcriptional signatures of synaptic I/O communication may integrate anatomical, physiological, functional and developmental genetic features that together define neuron types.
