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      General Principles of Neuronal Co-transmission: Insights From Multiple Model Systems

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          Abstract

          It is now accepted that neurons contain and release multiple transmitter substances. However, we still have only limited insight into the regulation and functional effects of this co-transmission. Given that there are 200 or more neurotransmitters, the chemical complexity of the nervous system is daunting. This is made more-so by the fact that their interacting effects can generate diverse non-linear and novel consequences. The relatively poor history of pharmacological approaches likely reflects the fact that manipulating a transmitter system will not necessarily mimic its roles within the normal chemical environment of the nervous system (e.g., when it acts in parallel with co-transmitters). In this article, co-transmission is discussed in a range of systems [from invertebrate and lower vertebrate models, up to the mammalian peripheral and central nervous system (CNS)] to highlight approaches used, degree of understanding, and open questions and future directions. Finally, we offer some outlines of what we consider to be the general principles of co-transmission, as well as what we think are the most pressing general aspects that need to be addressed to move forward in our understanding of co-transmission.

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          Most cited references251

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          Interneurons of the neocortical inhibitory system.

          Mammals adapt to a rapidly changing world because of the sophisticated cognitive functions that are supported by the neocortex. The neocortex, which forms almost 80% of the human brain, seems to have arisen from repeated duplication of a stereotypical microcircuit template with subtle specializations for different brain regions and species. The quest to unravel the blueprint of this template started more than a century ago and has revealed an immensely intricate design. The largest obstacle is the daunting variety of inhibitory interneurons that are found in the circuit. This review focuses on the organizing principles that govern the diversity of inhibitory interneurons and their circuits.
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            Cellular basis of working memory

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              Reconstruction and Simulation of Neocortical Microcircuitry.

              We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm(3) containing ~31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ~8 million connections with ~37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.
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                Author and article information

                Contributors
                Journal
                Front Neural Circuits
                Front Neural Circuits
                Front. Neural Circuits
                Frontiers in Neural Circuits
                Frontiers Media S.A.
                1662-5110
                21 January 2019
                2018
                : 12
                : 117
                Affiliations
                [1] 1BMC, Department of Neuroscience, Functional Pharmacology, Uppsala University , Uppsala, Sweden
                [2] 2Department of Neurosciences, Psychology and Behaviour, University of Leicester , Leicester, United Kingdom
                [3] 3Department of Pharmacology and Therapeutics, University of Melbourne , Melbourne, VIC, Australia
                [4] 4Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA, United States
                [5] 5Department of Physiology, Development and Neuroscience, Faculty of Biology, University of Cambridge , Cambridge, United Kingdom
                [6] 6Institute for Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University , Moscow, Russia
                Author notes

                Edited by: Michael Nitabach, Yale University, United States

                Reviewed by: Bing Zhang, University of Missouri, United States; Preeti Sareen, Yale University, United States

                *Correspondence: Erik Svensson erik.svensson@ 123456neuro.uu.se David Parker djp27@ 123456cam.ac.uk
                Article
                10.3389/fncir.2018.00117
                6352749
                30728768
                8116fd5b-a472-490c-abdf-61567fa33bf9
                Copyright © 2019 Svensson, Apergis-Schoute, Burnstock, Nusbaum, Parker and Schiöth.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 13 September 2018
                : 14 December 2018
                Page count
                Figures: 7, Tables: 2, Equations: 0, References: 305, Pages: 28, Words: 23473
                Funding
                Funded by: Stiftelsen Olle Engkvist Byggmästare 10.13039/501100004200
                Funded by: Vetenskapsrådet 10.13039/501100004359
                Categories
                Neuroscience
                Review

                Neurosciences
                corelease,neurotransmitter complexity,neuromodulation,neuropeptides,colocalization
                Neurosciences
                corelease, neurotransmitter complexity, neuromodulation, neuropeptides, colocalization

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