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      Inhibitory Neural Circuits in the Mammalian Auditory Midbrain

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          Abstract

          The auditory midbrain is the critical integration center in the auditory pathway of vertebrates. Synaptic inhibition plays a key role during information processing in the auditory midbrain, and these inhibitory neural circuits are seen in all vertebrates and are likely essential for hearing. Here, we review the structure and function of the inhibitory neural circuits of the auditory midbrain. First, we provide an overview on how these inhibitory circuits are organized within different clades of vertebrates. Next, we focus on recent findings in the mammalian auditory midbrain, the most studied of the vertebrates, and discuss how the mammalian auditory midbrain is functionally coordinated.

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          Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex.

          Different subtypes of GABAergic neurons in sensory cortex exhibit diverse morphology, histochemical markers, and patterns of connectivity. These subtypes likely play distinct roles in cortical function, but their in vivo response properties remain unclear. We used in vivo calcium imaging, combined with immunohistochemical and genetic labels, to record visual responses in excitatory neurons and up to three distinct subtypes of GABAergic neurons (immunoreactive for parvalbumin, somatostatin, or vasoactive intestinal peptide) in layer 2/3 of mouse visual cortex. Excitatory neurons had sharp response selectivity for stimulus orientation and spatial frequency, while all GABAergic subtypes had broader selectivity. Further, bias in the responses of GABAergic neurons toward particular orientations or spatial frequencies tended to reflect net biases of the surrounding neurons. These results suggest that the sensory responses of layer 2/3 GABAergic neurons reflect the pooled activity of the surrounding population--a principle that may generalize across species and sensory modalities. 2010 Elsevier Inc. All rights reserved.
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            Spontaneous events outline the realm of possible sensory responses in neocortical populations.

            Neocortical assemblies produce complex activity patterns both in response to sensory stimuli and spontaneously without sensory input. To investigate the structure of these patterns, we recorded from populations of 40-100 neurons in auditory and somatosensory cortices of anesthetized and awake rats using silicon microelectrodes. Population spike time patterns were broadly conserved across multiple sensory stimuli and spontaneous events. Although individual neurons showed timing variations between stimuli, these were not sufficient to disturb a generally conserved sequential organization observed at the population level, lasting for approximately 100 ms with spiking reliability decaying progressively after event onset. Preserved constraints were also seen in population firing rate vectors, with vectors evoked by individual stimuli occupying subspaces of a larger but still constrained space outlined by the set of spontaneous events. These results suggest that population spike patterns are drawn from a limited "vocabulary," sampled widely by spontaneous events but more narrowly by sensory responses.
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              Dendritic integration of excitatory synaptic input.

              A fundamental function of nerve cells is the transformation of incoming synaptic information into specific patterns of action potential output. An important component of this transformation is synaptic integration--the combination of voltage deflections produced by a myriad of synaptic inputs into a singular change in membrane potential. There are three basic elements involved in integration: the amplitude of the unitary postsynaptic potential; the manner in which non-simultaneous unitary events add in time (temporal summation), and the addition of unitary events occurring simultaneously in separate regions of the dendritic arbor (spatial summation). This review discusses how passive and active dendritic properties, and the functional characteristics of the synapse, shape these three elements of synaptic integration.
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                Author and article information

                Journal
                J Exp Neurosci
                J Exp Neurosci
                EXN
                spexn
                Journal of Experimental Neuroscience
                SAGE Publications (Sage UK: London, England )
                1179-0695
                12 December 2018
                2018
                : 12
                : 1179069518818230
                Affiliations
                [1 ]Department of Physiology, School of Medicine, Kanazawa Medical University, Uchinada, Japan
                [2 ]Department of Anatomy, School of Medicine, Kanazawa Medical University, Uchinada, Japan
                Author notes
                [*]Munenori Ono, Department of Physiology, School of Medicine, Kanazawa Medical University, Uchinada 920-0293, Ishikawa, Japan. Email: onomn@ 123456kanazawa-med.ac.jp
                Author information
                https://orcid.org/0000-0003-4516-9283
                Article
                10.1177_1179069518818230 EXN-18-0042.R1
                10.1177/1179069518818230
                6291857
                2ed4478e-57e5-442b-9ecc-5f59b5f8980b
                © The Author(s) 2018

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 7 June 2018
                : 15 November 2018
                Funding
                Funded by: Japan Society for the Promotion of Science, FundRef https://doi.org/10.13039/501100001691;
                Award ID: 16H01501
                Funded by: Japan Society for the Promotion of Science, FundRef https://doi.org/10.13039/501100001691;
                Award ID: 16K07026
                Funded by: Japan Society for the Promotion of Science, FundRef https://doi.org/10.13039/501100001691;
                Award ID: JP16K11200
                Funded by: Takahashi Industrial and Economic Research Foundation, FundRef https://doi.org/10.13039/100008965;
                Funded by: Kanazawa Medical University, FundRef https://doi.org/10.13039/501100004043;
                Award ID: S2016-8
                Categories
                Review
                Custom metadata
                January-December 2018

                auditory pathway,midbrain,inhibitory neural circuits,synaptic inputs

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