1The anatomy and physiology of synaptic connections in rodent hippocampal CA1 have been 2 exhaustively characterized in recent decades. Yet, the resulting knowledge remains disparate 3 and difficult to reconcile. Here, we present a data-driven approach to integrate the current 4 state-of-the-art knowledge on the synaptic anatomy and physiology of rodent hippocampal CA1, 5 including axo-dendritic innervation patterns, number of synapses per connection, quantal con-6 ductances, neurotransmitter release probability, and short-term plasticity into a single coherent 7 resource. First, we undertook an extensive literature review of paired-recordings of hippocam-8 pal neurons and compiled experimental data on their synaptic anatomy and physiology. The 9 data collected in this manner is sparse and inhomogeneous due to the diversity of experimental 10 techniques used by different labs, which necessitates the need for an integrative framework to 11 unify these data. To this end, we extended a previously developed workflow for the neocortex to 12 constrain a unifying in silico reconstruction of the synaptic physiology of CA1 connections. Our 13 work identifies gaps in the existing knowledge and provides a complementary resource towards 14 a more complete quantification of synaptic anatomy and physiology in the rodent hippocampal 15 CA1 region.
17The hippocampal CA1 region is probably the most studied region of the mammalian brain and 20 is thought to play a pivotal role in learning and memory (Bliss and Collingridge, 2013; Buzsáki, 21 1989). Neuronal microcircuits in the hippocampal CA1 region process and store information 22 through a myriad of cell-type-specific synaptic connections. Previous studies have identified that 23 hippocampal cell-types are connected through multiple synapses, which are positioned across 24 distinct axo-dendritic domains with a diversity of short-and long-term dynamics, as well as 25 synaptic strengths. Despite the wealth of data, we lack an integrative framework to reconcile the 26 diversity of synaptic physiology, and therefore, identify knowledge gaps. There have been several 27 1 Ecker et al.Integration of CA1 synapse physiology in silico recent attempts to integrate knowledge about the hippocampal CA1 (Bezaire and Soltesz, 2013; 28 Wheeler et al., 2015), however, they were not focused on the dynamics of synaptic transmission.
29Recent attempts have extended the utility of the online resource hippocampome.org towards 30 synaptic electrophysiology as well (Moradi and Ascoli, 2019). However, in the continuing spirit 31 of hippocampome.org, the study is primarily a text mining-based collection of papers and pa-32 rameters, which does not integrate these data into a unifying framework. As a way forward, 33 we extended a previously developed workflow to integrate disparate data on the physiology of 34 synaptic transmission in hippocampal CA1, identified and extrapolated organizing principles to 35 predict knowledge gaps (Markram et al., 2015). We accounted for the dynamic and probabili...